Готові списки джерел за темами / Generative approach

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Добірка наукової літератури з теми "Generative approach"

Автор: Grafiati
Опубліковано: 2 листопада 2022
Оновлено: 22 червня 2025

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Статті в журналах з теми "Generative approach"

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Sobirovich, Sukhrob Avezov. "A PRAGMATICALLY ORIENTED APPROACH TO GENERATIVE LINGUISTICS." Current Research Journal of Philological Sciences 5, no. 4 (2024): 69–75. http://dx.doi.org/10.37547/philological-crjps-05-04-12.

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The annotated paper examines the possibility of creating an original grammatical system when teaching a new language. The pragmatic approach to generative linguistics was the methodology of language acquisition using a unified model of the Russian sentence. The article discusses algorithms of sentence modelling at two levels: external and internal, based on the theories of N.Chomsky and L.Teniers. The external level includes the construction of a unified sentence structure from the deep structure to the surface structure according to N.Chomsky. And the internal level includes the structural correlation of model elements as the content of the unified sentence structure itself -according to L.Tenier. The theories of N.Chomsky and L.Teniers defined all models as a union of components and reflected in the same models the relations of hierarchy between the components. The study demonstrates a way of teaching foreign speakers the language with the help of the author’s theory of algorithmic syntax.
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Victor Parque, Masakazu Kobayashi, and Masatake Higashi. "3105 A Generative Approach to Wire Harness Design." Proceedings of Design & Systems Conference 2013.23 (2013): _3105–1_—_3105–2_. http://dx.doi.org/10.1299/jsmedsd.2013.23._3105-1_.

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3

Wong, Alexander, Mohammad Javad Shafiee, Brendan Chwyl, and Francis Li. "GenSynth: a generative synthesis approach to learning generative machines for generate efficient neural networks." Electronics Letters 55, no. 18 (2019): 986–89. http://dx.doi.org/10.1049/el.2019.1719.

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4

Yang, Chi Bok, and Yang Sok Kim. "Implementation of Retrieval Augmented Generation (RAG) Model Using LLM: A RapidMiner-Based Approach." Korean Institute of Smart Media 14, no. 2 (2025): 34–42. https://doi.org/10.30693/smj.2025.14.2.34.

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Анотація:
Generative AI technology, driven by Large Language Models (LLMs), is being increasingly utilized to overcome existing limitations. Retrieval-Augmented Generation (RAG) has emerged as an effective approach to reduce hallucination in LLMs by leveraging up-to-date and domain-specific knowledge beyond training data. However, most studies propose programming-based implementations. This research introduces a GUI-based RAG framework using RapidMiner, to construct RAG systems without programming proficiency. The methodology includes storing and retrieving embeddings with the Qdrant vector database and generating question-and-answer pairs via the OpenAI API. Practical demonstrations confirm the system’s effectiveness in real-world scenarios, offering a simpler and more efficient method for developing generative AI services with LLMs.
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Sinha, Himanshu. "The Identification of Network Intrusions with Generative Artificial Intelligence Approach for Cybersecurity." Journal of Web Applications and Cyber Security 2, no. 2 (2024): 20–29. http://dx.doi.org/10.48001/jowacs.2024.2220-29.

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Анотація:
Generative Artificial Intelligence (Generative AI) offers a paradigm shift to the way robots perceive and interact with data. Generative AI approaches aim to produce new data samples that closely match the original dataset, in contrast to standard AI models that concentrate on tasks such as categorisation or prediction. This ability has broad implications for a variety of fields, including network security. New generation of network intrusion defense brought forth by Generative AI is revolution using the area of network security. In this work, investigates the revolutionary potential of Generative AI in network intrusion detection, with the goal of developing a proactive and adaptable cyber protection mechanism. In this work the use of Generative AI use for identifying network intrusions, using the NSL-KDD dataset. The work begins with meticulous data preprocessing using handling missing values, encoding, feature scaling, and feature extraction to enhance the dataset and then focuses on using Generative AI for intrusion detection. In this work many models have been used like SVM, AE, DAE, and GANs, and in this GANs has the best accuracy with 91.12% compared with other models.
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Thorp, H. Holden. "Generative approach to research integrity." Science 381, no. 6658 (2023): 587. http://dx.doi.org/10.1126/science.adk1852.

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Анотація:
It’s been a bad few weeks for public perceptions of research integrity, as multiple cases at elite universities have received wide news coverage. Francesca Gino, a scientist at Harvard University, is in a legal dispute over whether data in newly retracted papers about dishonesty were manipulated; she is now suing Harvard and the researchers who surfaced the alleged problems. Likewise, Duke University is investigating published work by scientist Daniel Ariely. Johns Hopkins University may initiate an investigation of research misconduct by Nobel laureate Gregg Semenza. And most prominently, the president of Stanford University, Marc Tessier-Lavigne, recently resigned after the institution’s report determined that the “culture” in his laboratory contributed to manipulation of results.
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Kumar Jana, Aryyama, Srija Saha, and Arnab Dey. "DyGAISP: Generative AI-Powered Approach for Intelligent Software Lifecycle Planning." International Journal of Science and Research (IJSR) 13, no. 5 (2024): 1275–82. http://dx.doi.org/10.21275/sr24520092232.

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Yüksel, Nurullah, and Hüseyin Rıza Börklü. "A Generative Deep Learning Approach for Improving the Mechanical Performance of Structural Components." Applied Sciences 14, no. 9 (2024): 3564. http://dx.doi.org/10.3390/app14093564.

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Анотація:
This study aimed to improve the mechanical properties of 3D concept designs by combining the design capability of a generative adversarial network with finite element analysis. This approach offers an innovative perspective on the conditioning of generative models while improving design properties and automation. A new design and evaluation framework has been developed for GAN models to generate 3D models with improved mechanical properties. The framework is an iterative process that includes dataset generation, GAN training, and finite element analysis. A “joint” component used in the aerospace industry is considered to demonstrate the proposed method’s effectiveness. Over six iterations, an increase of 20% is recorded in the average safety factor of the designs, and the variety of designs produced is narrowed in the desired direction. These findings suggest that the direct generation of structural components with generative models can expand the potential of deep learning in engineering design. Another innovative aspect of this study is that it provides a new option for the conditioning of data-dependent generative design models.
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9

Regol, Florence, and Mark Coates. "Diffusing Gaussian Mixtures for Generating Categorical Data." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9570–78. http://dx.doi.org/10.1609/aaai.v37i8.26145.

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Анотація:
Learning a categorical distribution comes with its own set of challenges. A successful approach taken by state-of-the-art works is to cast the problem in a continuous domain to take advantage of the impressive performance of the generative models for continuous data. Amongst them are the recently emerging diffusion probabilistic models, which have the observed advantage of generating high-quality samples. Recent advances for categorical generative models have focused on log likelihood improvements. In this work, we propose a generative model for categorical data based on diffusion models with a focus on high-quality sample generation, and propose sampled-based evaluation methods. The efficacy of our method stems from performing diffusion in the continuous domain while having its parameterization informed by the structure of the categorical nature of the target distribution. Our method of evaluation highlights the capabilities and limitations of different generative models for generating categorical data, and includes experiments on synthetic and real-world protein datasets.
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Wang, Yunpeng, Meng Pang, Shengbo Chen, and Hong Rao. "Consistency-GAN: Training GANs with Consistency Model." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (2024): 15743–51. http://dx.doi.org/10.1609/aaai.v38i14.29503.

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Анотація:
For generative learning tasks, there are three crucial criteria for generating samples from the models: quality, coverage/diversity, and sampling speed. Among the existing generative models, Generative adversarial networks (GANs) and diffusion models demonstrate outstanding quality performance while suffering from notable limitations. GANs can generate high-quality results and enable fast sampling, their drawbacks, however, lie in the limited diversity of the generated samples. On the other hand, diffusion models excel at generating high-quality results with a commendable diversity. Yet, its iterative generation process necessitates hundreds to thousands of sampling steps, leading to slow speeds that are impractical for real-time scenarios. To address the aforementioned problem, this paper proposes a novel Consistency-GAN model. In particular, to aid in the training of the GAN, we introduce instance noise, which employs consistency models using only a few steps compared to the conventional diffusion process. Our evaluations on various datasets indicate that our approach significantly accelerates sampling speeds compared to traditional diffusion models, while preserving sample quality and diversity. Furthermore, our approach also has better model coverage than traditional adversarial training methods.
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Більше джерел

Дисертації з теми "Generative approach"

1

Llinàs, i. Grau Mireia. "Verbal Sequences: A Generative Approach." Doctoral thesis, Universitat Autònoma de Barcelona, 1990. http://hdl.handle.net/10803/4916.

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Анотація:
Aquesta tesi vol proporcionar una explicació a un constrast sintàctic entre l'anglès, el català i l'espanyol tot assumint propostes teòriques específiques del marc generativista dins del model de la Recció i el Lligam. <br/>Aquestes llengües construeixen les seves seqüències verbals amb auxiliars i verbs lèxics, com es veu als exemples següents: <br/>(1) La Maria ha ballat a la festa<br/>(2) María ha bailado en la fiesta<br/>(3) Mary has danced at the party<br/>No obstant, quan s'introdueixen altres elements a les oracions, el comportament de l'auxiliar i el verb lèxic contrasta entre l'anglès i les altres dues llengües: <br/>(4) Ha ballat la María a la festa? <br/>(5) Ha bailado María en la fiesta? <br/>(6) Has Mary danced at the party? <br/>(7) La María no ha ballat a la festa<br/>(8) María no ha bailado en la fiesta<br/>(9) Mary has not danced at the party<br/>Com es pot observar, la seqüència AUX+V en català i espanyol ha de romandre adjacent en la construcció interrogativa i la negativa. En anglès, la seqüència s'ha de separar; l'auxiliar passa a ocupar la posició inicial a la interrogativa i la partícula negativa intervé entre l'auxiliar i el verb lèxic. <br/>La tesi proporciona una descripció del comportament sintàctic de diverses constructions verbals. Inclou no tan sols les seqüències d'auxilliar i verb lèxic exemplificades més amunt sinó també altres seqüències conegudes com a predicats complexos ( que inclouen tant verbs causatius, com modals o aspectuals). <br/>La tesi també analitza un altre constrast que trobem en la sintaxi de les dues llengües romàniques estudiades, es tracta de l'alt grau de cohesió entre els auxiliars i els verbs lèxics en contrast amb les combinacions de verbs causatius, modals o aspectuals i un verb lèxic. S'utilitzen diferents proves sintàcitques per comprovar el grau de cohesió de les seqüències, com ara la pujada del clític. <br/>El segon capítol de la tesi inclou una revisió panoràmica de la literatura rellevant del tema. L'objectiu d'aquesta revisió és determinar el grau de cohesió entre els elements verbals de cada construcció, proposar una estructura sintàctica bàsica i descobrir el mecanisme responsable dels contrastos observats. <br/>El capítol tercer explica aquest mecanisme, que és el que es pren com a base de les diferències de grau de cohesió observades entre els elements verbals analitzats. El mecanisme és el de la incorporació (Baker 1988), un moviment essencial de nucli-a-nucli altament actiu enllengües polisintètiques com ara el Chichewa. <br/>La tesi inclou un capítol d'introducció al marc teòric (capítol 1) i un capítol final on s'exposen algunes consideracions de com adaptar les propostes estrcturals de la tesi a la teoria emergent de les categories funcionals (capítol 4).<br>Esta tesis quiere proporcionar una explicación a un contraste sintáctico entre el inglés, el catalán i el español asumiendo propuestas teóricas específicas del marco generativista dentro del modelo de la Rección y el Ligamiento. <br/>Estas tres lenguas construyen sus secuencias verbales con un auxiliar y un verbo léxico, com vemos en los siguientes ejemplos: <br/>(1) La Maria ha ballat a la festa<br/>(2) María ha bailado en la fiesta<br/>(3) Mary has danced at the party<br/>No obstante, cuando se introducen otros elementos en las oraciones, el comportamiento del auxiliar y el verbo léxico contrasta entre el inglés y las otras dos lenguas: <br/>(4) Ha ballat la María a la festa? <br/>(5) Ha bailado María en la fiesta? <br/>(6) Has Mary danced at the party? <br/>(7) La María no ha ballat a la festa<br/>(8) María no ha bailado en la fiesta<br/>(9) Mary has not danced at the party<br/>Como se puede observar, la secuencia AUX+V en catalán y español debe permanecer adyacente en la construcción interrogativa y en la negativa. En inglés, la secuencia se debe separar; el auxliar pasa a ocupar la posición inicial en la interrogativa y la partícula negativa interviene entre el auxiliar y el verbo léxico. <br/>La tesis proporciona una descripción del comportamiento sintáctico de varias construcciones verbales. Incluye no tan solo las secuencias de auxiliar y verbo ejemplificadas aquí, sino también otras conocidas como predicados complejos (que incluyen verbos causaticos, modales y aspectuales). <br/>La tesis también analiza otro contraste que encontramos en la sintaxis de las dos lenguas románicas estudiadas, se trata del alto grado de cohesión entre las secuencias de auxiliar y verbo léxico en contraste con las combinaciones de verbos causativos, modales y apectuales con un verbo léxico. Se utilizan varias pruebas sintácticas para comprobar el grado de cohesión entre los elemntos verbales como la subida de clítico. <br/>El segundo capítulo de la tesis incluye una revisión panorámica de la literatura relevante sobre el tema. El objetivo de esta revisión es determinar el grado de cohesión entre los elementos verbales de cada construcción, proponer una estructura sintáctica básica, y descubrir el mecanismo responsable de los contrastes observados. <br/>El tercer capítulo explica este mecanismo, que se toma como base de las diferencias en el grado de cohesión observadas entre los elementos verbales analizados. El mecanismo es el de la incorporación (Baker 1988) , un movimiento esencial de núcleo-a-núcleo altamente activo en las lenguas polisintéticas com el Chichewa. <br/>La tesis incluye un capítulo de introducción al marco teórico (capítulo 1) y un capítulo final donde se hacen consideraciones sobre como adaptar las propuestas estructurales de la tesis a la teoría emergente de las categorías funcionales (capítulo 4).<br>This thesis attempts to provide an explanation of a syntactic contrast between English, Catalan and Spanish assuming specific theoretical proposals in the generative framework within the Government and Binding model.<br/>These languages construct their verbal sequences by means of auxiliaries and lexical verbs, as in the following examples:<br/>(1) La Maria ha ballat a la festa<br/>(2) María ha bailado en la fiesta<br/>(3) Mary has danced at the party<br/>Nevertheless, when other elements are introduced in the sentences, the behaviour of the auxiliary and the lexical verb constrasts between English and the other two languages: <br/>(4) Ha ballat la María a la festa? <br/>(5) Ha bailado María en la fiesta? <br/>(6) Has Mary danced at the party? <br/>(7) La María no ha ballat a la festa<br/>(8) María no ha bailado en la fiesta<br/>(9) Mary has not danced at the party<br/>As can be observed, the verbal sequence AUX+V in Catalan and Spanish must remain adjacent in the interrogative and the negative constructions. In English, the sequence must be separated, the auxiliary is placed in the initial position in the interrogative and the negative particle intervenes between the auxiliary and the lexical verb. <br/>The thesis provides a description of the behaviour of several verbal constructions. It includes not only the verbal sequences of auxiliaries plus lexical verbs exemplified above but also other sequences known as complex predicates (including causative, aspectual and modal verbs). <br/>The thesis also analyses another contrast found in the syntax of the two Romance languages studied, namely a higher degree of cohesion between auxiliaries and lexical verbs contrasting with the combination of a causative, aspectual or modal verb and a lexical verb. Several syntactic tests are used to assess the degree of cohesion, such as clitic-climbing. <br/>The second chapter of the thesis includes an overview of the relevant literature on the subject. The focus of the overview is to determine the degree of cohesion between the verbal elements in each of the constructions, to propose a basic syntactic structure and to discover the mechanism responsible for the constrasts observed.<br/>The third chapter of the thesis explains this mechanism which is taken to be responsible for the differences in degree of cohesion of the sequences analysed. The mechanism is known as incorporation (Baker 1988), an essential head-to-head movement which is highly active in polysynthetic languages like Chichewa. <br/>The thesis includes a chapter of introduction to the framework (chapter 1) and a final chapter where some considerations are made on how to adapt the structural proposals in the thesis to the emerging theory of functional categories (chapter 4).
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2

Malik, Aamina Karim. "Mass Customization! An approach through Generative Design." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3467.

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Abstract Historically, design has been associated with unique, handmade products and utilities; however, the advent of the Industrial Revolution introduced the system of mass-production, which generated a recurrent and ambivalent problem: the lack of customized products. Generative Design redresses this issue. This new design method is based on a system of rules, which produce a design that maintains individuality and character. Generative Design takes one away from natural elements and the distinct personalities of designs and products. Forming a design out of certain algorithms and sets of rules constricts it to artificiality and separates it from the natural. Hence, Generative Design has mostly developed without paying close attention to natural processes and human interaction. Based on the research, an attempt has been made to bridge the gap between the artificial and the natural, instituting a dialogue between the two. This study has brought together the two concepts of Generative Design and mass production to produce a series of designs which can be mass-produced yet remain unique because of their connection to the natural world.
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3

Edakkattil, Gopinath Deepak. "Enhancing stroke generation and expressivity in robotic drummers - A generative physics model approach." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53617.

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Анотація:
The goal of this master's thesis research is to enhance the stroke generation capabilities and musical expressivity in robotic drummers. The approach adopted is to understand the physics of human fingers-drumstick-drumhead interaction and try to replicate the same behavior in a robotic drumming system with the minimum number of degrees of freedom. The model that is developed is agnostic to the exact specifications of the robotic drummer that will attempt to emulate human like drum strokes, and therefore can be used in any robotic drummer that uses actuators with complete control over the motor position angle. Initial approaches based on exploiting the instability of a PID control system to generate multiple bounces and the limitations of this approach are also discussed in depth. In order to assess the success of the model and the implementation in the robotic platform a subjective evaluation was conducted. The evaluation results showed that, the observed data was statistically equivalent to the subjects resorting to a blind guess in order to distinguish between a human playing a multiple bounce stroke and a robot playing a similar kind of stroke.
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Fasoulaki, Eleftheria. "Integrated design : a generative multi-performative design approach." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43750.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2008.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>MIT Institute Archives copy: with CD-ROM; divisional library copy with no CD-ROM.<br>Includes bibliographical references (leaves 70-72).<br>There are building systems, called "modularized", in which the component systems (for structure, lighting, etc) can be analyzed and synthesized independently since their performance and design do not interact or affect one another. There are other building systems, called "coupled", in which the component systems do interact and influence one another. The thesis acknowledges that in a building there are both sub-systems that act independently and others that interact. While many design processes have been proposed for dealing with discrete sub-systems, there is no systematic study for building sub-systems that interrelate. This thesis examines a different design approach called integrated. The term "integrated" has a dual utilization in this study. The first use refers to the integration of form and building performance. The second use refers to the integration of interrelated and diverse building performances involving multiple disciplines. The integrated design approach analyzes and evaluates several interrelated design systems involving different disciplines in the early design phase. The goal of the approach is the generation of design alternatives guided simultaneously by two basic objectives: the aspiration for form exploration and the satisfaction of the performances of interrelated systems. After defining a framework for an integrated design approach, which includes inter-disciplinary collaboration, unified design, optimization, simulation, and other formal and digital techniques, the approach will be demonstrated in a case study. The objective of the case study is to demonstrate that the integrated design approach has validity and can be realized, in this case, for the generation of high-rise buildings guided by structural, lighting, zoning codes, and aesthetic criteria.<br>by Eleftheria Fasoulaki.<br>S.M.
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Estérie, Pierre. "Multi-Architectural Support : A Generic and Generative Approach." Thesis, Paris 11, 2014. http://www.theses.fr/2014PA112124/document.

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Le besoin constant de puissance de calcul a poussé les développeurs à concevoir de nouvelles architectures: les architectures parallèles. Le calcul scientifique dépend fortement des performances de ces dernières afin de fournir des résultats dans un temps optimal. Les applications scientifiques exécutées sur de tels systèmes doivent alors tirer partie des spécificités de ces nouvelles architectures pour être efficaces.Cette thèse présente une nouvelle approche pour la conception de logiciels embarquant des optimisations relatives aux architectures : l'approche AADEMRAL (Architecture Aware DEMRAL). Cette méthodologie a pour but de simplifier le développement de bibliothèques de calcul parallèle avec un support multi-Architectural grâce à une approche générique et générative.Cette nouvelle méthodologie est ensuite intégrée dans trois bibliothèques. La première d'entre elles, Boost.Dispatch, permet de concevoir des logiciels basés sur l'approche AADEMRAL. Boost.Dispatch est une bibliothèque C++fournissant une interface générique pour réaliser de la surcharge de fonction avisée de l'architecture sous-Jacente. Ensuite nous présentons deux bibliothèques C++ implémentées en tant que langages orientés domaine : Boost.SIMD et NT2. Leurs conceptions mettent en œuvre la méthodologie AADEMRAL et leurs implémentations sont basées sur Boost.Dispatch. Boost.SIMD propose une interface de haut niveau pour la programmation des unités vectorielles.NT2 se base sur une interface similaire à celle de Matlab et fournie un support pour les systèmes multi-Cœurs et les unités vectorielles. Enfin, nous validons les performances de ces deux outils ainsi que la robustesse de notre nouvelle approche en présentant une série de résultats obtenus sur des applications de référence<br>The constant increasing need for computing power has pushed the development of parallel architectures. Scientific computing relies on the performance of such architectures to produce scientific results. Programming efficient applications that takes advantage of these computing systems remains a non trivial task. In this thesis, we present a new methodology to design architecture aware software: the AA-DEMRAL methodology. This methodology aims at simplifying the development of parallel programming tools with multi-Architectural support through a generic and generative approach. We then present three high level programming tools that rely on this approach. First, we introduce the Boost.Dispatch library that provides a way to develop software based on the AA-DEMRAL methodology. The Boost.Dispatch library is a C++ generic framework for architecture aware function dispatching. Then, we present two C++ template libraries implemented as Architecture Aware DSELs which assess the AA-DEMRAL methodology through the use of Boost.Dispatch: Boost.SIMD, that provides a high level API for SIMD extensions and NT2 , which propose a Matlab like interface with support for multi-Core and SIMD based systems. We assess the performance of these libraries and the validity of our new methodology through benchmarks
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Li, Haibing [Verfasser]. "Generative Design Approach for Robust Solution Development / Haibing Li." Garbsen : TEWISS - Technik und Wissen GmbH, 2020. https://www.tewiss-verlag.de/.

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Loughran, Neil Anthony. "Framed aspects-A generative variability approach for aspect-oriented programming." Thesis, Lancaster University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.536014.

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Rinnarv, Jonathan. "GANChat : A Generative Adversarial Network approach for chat bot learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

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Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and shown potential in other generative machine learning tasks as well. GAN training is an adversarial training method where two neural networks compete and attempt to outperform each other, and in the process they both learn. In this thesis the effectiveness of GAN training is tested on conversational agents also called chat bots. To test this, current state-of-the-art training methods such as Maximum Likelihood Estimation (MLE) models are compared with GAN method trained models. Model performance was measured by closeness of the model distribution from the target distribution after training. This thesis shows that the GAN method performs worse the MLE in some scenarios but can outperform MLE in some cases.<br>Nyligen har en ny metod för att träna generativa neurala nätverk kallad Generative Adversarial Networks (GAN) visat bra resultat inom datorseendedomänen och visat potential inom andra maskininlärningsområden också GAN-träning är en träningsmetod där två neurala nätverk tävlar och försöker överträffa varandra, och i processen lär sig båda. I detta examensarbete har effektiviteten av GAN-träning testats på konversationsagenter, som också kallas Chat bots. För att testa det här jämfördes modeller tränade med nuvarande state-of- the-art träningsmetoder, så som Maximum likelihood-metoden (ML), med GAN-tränade modeller. Modellernas prestation mättes genom distans från modelldistribution till måldistribution efter träning. Det här examensarbetet visar att GAN-metoden presterar sämre än ML-metoden i vissa scenarier men kan överträffa ML i vissa fall.
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9

Johnson, Brittney E. "Inferring final plans : expanding on a generative and logic-based approach." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113141.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 91-93).<br>When humans work together to form a plan, they often make mistakes: they misspeak, say things out of order, and negate things they had previously said. We aim to read human team planning conversations and extract the final agreed-upon plan so that a robotic agent may assist in design or execution. Previous work shows that a generative model with logic-based priors is effective when the plan being formed is relatively simple. We present an algorithm that expands on the model by incorporating dialogue acts, which give an indication of how proposed actions are said. We compare our model's performance to humans on the same task. We also validate the model on a toy problem, achieving the desired output 8 times out of 10 (compared to a baseline of 3/10), and run the baseline and our expanded model on a more complex input dialogue. To the best of our knowledge, this is this first work that incorporates dialogue acts into a generative model to perform plan inference.<br>by Brittney E. Johnson.<br>M. Eng.
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10

Graaff, Johann. "In search of the generative question : a hermeneutic approach to pedagogy." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/8060.

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This dissertation investigates, first, the kinds of transformation that have occurred in the perceptions and identities of a first year sociology class at the University of Cape Town (UCT), and, second, the learning experiences that have led to, or been associated with, those changes. It does that through Hans-Georg Gadamer's hermeneutics. On the first issue, Gadamer proposes that the social sciences brings individuals to a meeting with the alien, and that this meeting effects a transformation of the self. This means both (following Jardine) to 'return life to its original difficulty', and (following Kerdeman) to be 'pulled up short'.
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Книги з теми "Generative approach"

1

Sadler, Louisa. Welsh syntax: A government-binding approach. Croom Helm, 1988.

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2

Syeed, Sayyid M. Morphological causitives and the problems of the transformational approach. Indiana University Linguistics Club, 1985.

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Nesset, Tore. Russian conjugation revisited: A cognitive approach to aspects of Russian verb inflection. Novus, 1998.

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Voeĭkova, M. D. Russian existential sentences: A functional approach. LINCOM Europa, 2000.

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C, Klein Elaine, Martohardjono Gita 1956-, and GASLA95 (1995 : City University of New York), eds. The development of second language grammars: A generative approach. J. Benjamins, 1999.

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6

Pentland, Brian T. Process grammars: A generative approach to process redesign. Center for Coordination Science, Sloan School of Management, Massachusetts Institute of Technology], 1994.

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7

Stichel, Eliane van. A generative approach to the phonological comparison of Dutch and Spanish. Senda Nueva de Ediciones, 1990.

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8

Tizón-Couto, David. Left dislocation in English: A functional-discoursal approach. Peter Lang, 2012.

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9

Sadler, Louisa. Welsh syntax: A government-binding approach. Croom Helm, 1988.

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10

Lager, Torbjörn. A logical approach to computational corpus linguistics. Department of Linguistics, Göteborg University, 1995.

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Частини книг з теми "Generative approach"

1

Zhu, Qihao, and Jianxi Luo. "Generative Design Ideation: A Natural Language Generation Approach." In Design Computing and Cognition’22. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20418-0_3.

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Chen, Zhiru, Zhi Zhang, Xi Zhao, and Liang Guo. "Generative Adversarial Network Based Status Generation Simulation Approach." In Communications in Computer and Information Science. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5940-9_19.

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3

Cechticky, Vaclav, Philippe Chevalley, Alessandro Pasetti, and Walter Schaufelberger. "A Generative Approach to Framework Instantiation." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39815-8_17.

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4

Smith, Douglas R. "A Generative Approach to Aspect-Oriented Programming." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30175-2_3.

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Hohenstein, Uwe, and Volkmar Plesser. "A generative approach to database federation." In Conceptual Modeling — ER '97. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63699-4_34.

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6

Turner, Alasdair, Chiron Mottram, and Alan Penn. "An Ecological Approach to Generative Design." In Design Computing and Cognition ’04. Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2393-4_14.

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7

Kladovasilakis, Nikolaos, Konstantinos Tsongas, and Dimitrios Tzetzis. "Element-Based Approach and Generative Design." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77700-4_2.

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8

Consel, Charles, Hedi Hamdi, Laurent Réveillère, Lenin Singaravelu, Haiyan Yu, and Calton Pu. "Spidle: A DSL Approach to Specifying Streaming Applications." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39815-8_1.

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9

Gray, Jeff, Ted Bapty, Sandeep Neema, Douglas C. Schmidt, Aniruddha Gokhale, and Balachandran Natarajan. "An Approach for Supporting Aspect-Oriented Domain Modeling." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39815-8_10.

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10

Consel, Charles, Fabien Latry, Laurent Réveillère, and Pierre Cointe. "A Generative Programming Approach to Developing DSL Compilers." In Generative Programming and Component Engineering. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11561347_4.

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Тези доповідей конференцій з теми "Generative approach"

1

Shelar, Swati M., and Yuvraj V. Parkale. "Generative Point Clouds: A Novel Approach for 3D Data Generation." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882285.

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Yin, Shanzhi, Zihan Zhang, Bolin Chen, Shiqi Wang, and Yan Ye. "Compressing Scene Dynamics: A Generative Approach." In 2025 Data Compression Conference (DCC). IEEE, 2025. https://doi.org/10.1109/dcc62719.2025.00101.

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Kodali, Ravi Kishore, Yatendra Prasad Upreti, and Lakshmi Boppana. "A Novel Approach to Generative AI Translation." In TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON). IEEE, 2024. https://doi.org/10.1109/tencon61640.2024.10902899.

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Chen, Andre, and Sieu Tran. "Supercharging Document Composition with Generative AI: A Secure, Custom Retrieval-Augmented Generation Approach." In 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, 2024. http://dx.doi.org/10.1109/sds60720.2024.00025.

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Caron, Mathilde, Ahmet Iscen, Alireza Fathi, and Cordelia Schmid. "A Generative Approach for Wikipedia-Scale Visual Entity Recognition." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.01639.

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6

Mhatre, Madhura, Ananya Pandey, Harsh Rane, and Sunita Sahu. "A Novel Approach for Creating Flowcharts using Generative AI." In 2024 Asia Pacific Conference on Innovation in Technology (APCIT). IEEE, 2024. http://dx.doi.org/10.1109/apcit62007.2024.10673464.

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7

Jeniffer, S. Benil, D. Sathya, Yogeshwari R, Sukesh G, and Dhivish Kumar S R. "Generative Art: A DC-GAN Approach for Visualizing Descriptions." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933164.

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Jebraeeli, Vahid, Bo Jiang, Hamid Krim, and Derya Cansever. "Generative Expansion of Small Datasets: An Expansive Graph Approach." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10887596.

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Lee, HyeokSoo, Minyeol Yang, and Jongpil Jeong. "A Novel Approach to Generative AI-based Optimized Code Generation for Semiconductor Equipment Interfaces." In 2025 27th International Conference on Advanced Communications Technology (ICACT). IEEE, 2025. https://doi.org/10.23919/icact63878.2025.10936654.

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10

Xu, Ming, ZhiSheng Xin, and YiChun Tan. "A generative approach to image generation of Yao Long Drums based on Cultural Gene analysis." In 2024 International Conference on Culture-Oriented Science & Technology (CoST). IEEE, 2024. http://dx.doi.org/10.1109/cost64302.2024.00037.

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Звіти організацій з теми "Generative approach"

1

Minis, Ioannis, Jeffrey W. Herrmann, and Giang Lam. A Generative Approach for Design Evaluation and Partner Selection for Agile Manufacturing. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada452746.

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Sadoune, Igor, Marcelin Joanis, and Andrea Lodi. Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data. CIRANO, 2023. http://dx.doi.org/10.54932/lqog8430.

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We present a deep learning solution to address the challenges of simulating realistic synthetic first-price sealed-bid auction data. The complexities encountered in this type of auction data include high-cardinality discrete feature spaces and a multilevel structure arising from multiple bids associated with a single auction instance. Our methodology combines deep generative modeling (DGM) with an artificial learner that predicts the conditional bid distribution based on auction characteristics, contributing to advancements in simulation-based research. This approach lays the groundwork for creating realistic auction environments suitable for agent-based learning and modeling applications. Our contribution is twofold: we introduce a comprehensive methodology for simulating multilevel discrete auction data, and we underscore the potential ofDGMas a powerful instrument for refining simulation techniques and fostering the development of economic models grounded in generative AI.
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3

McKee, Philip, and Jeffrey Lloyd. A Generative Adversarial Network Approach with a Random Patch Discriminator to Generate 3D Synthetic Microstructures Containing Second Phase Particles. DEVCOM Army Research Laboratory, 2023. http://dx.doi.org/10.21236/ad1207921.

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4

Pinchuk, Olga. Instructional and Methodological Guidelines on the Implementation and Use of Artificial Intelligence Technologies in Secondary Schools. Institute for Digitalisation of Education of the NAES of Ukraіne, 2024. https://doi.org/10.33407/lib.naes.id/eprint/742889.

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Instructional and Methodological Guidelines on the Implementation and Use of Artificial Intelligence Technologies in Secondary Schools - recommendations that, as of 2024, determine the approach to the responsible, ethical and effective use of generative artificial intelligence tools in general secondary education institutions.
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5

Pasupuleti, Murali Krishna. Sustainable and Affordable Global Housing via AI and Advanced Materials. National Education Services, 2025. https://doi.org/10.62311/nesx/rr425.

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Abstract: The global housing crisis demands innovative solutions that balance affordability, sustainability, and technological advancement. This research report explores the transformative role of Artificial Intelligence (AI) and advanced materials in addressing housing shortages, reducing environmental impact, and improving construction efficiency. AI-driven generative design, smart automation, and predictive analytics optimize resource allocation and enhance structural safety, while advanced materials such as 3D-printed composites, self-healing concrete, aerogels, and bio-based materials revolutionize durability and cost-effectiveness. The study examines the economic feasibility, policy frameworks, and global case studies demonstrating the real-world application of these technologies. Through a multidisciplinary approach, this report provides insights into how AI and sustainable materials can drive the future of affordable housing, ensuring scalability, resilience, and environmental responsibility. Keywords: AI-driven housing, advanced materials, sustainable construction, affordable housing, generative design, 3D-printed homes, self-healing concrete, smart automation, predictive analytics, energy-efficient housing, climate-resilient architecture, green building materials, urban planning, housing policy, robotics in construction, digital twins, AI in real estate.
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6

de Abreu, Jonas, and Mariana Cunha e Melo. Extending Pix: An approach to offline Dynamic QR Code generation. Center for Technology and Public Interest, SL, 2023. http://dx.doi.org/10.59262/9qu6ex.

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The Pix Dynamic QR Code URI can be extended to allow for offline QR Code generation. The proposed solution involves generating URIs that can be used as a vehicle to transmit information from the client to the server, allowing the payee to generate their own URIs. The document also goes into detail about URI properties, encoding, and cryptography. The proposed design balances tradeoffs between the amount of data that can be transmitted and cryptographic guarantees, and uses commonly available cryptographic primitives to reduce implementation costs.
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7

Schell, Laurie. Introduction to Case-making and Systems Change in Arts & Cultural Education. Creative Generation, 2022. http://dx.doi.org/10.51163/creative-gen009.

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Introduction to Case-making and Systems Change in Arts &amp; Cultural Education is an overview of a collaborative project between Creative Generation and ElevateArtsEd undertaken to better understand how practitioners - such as artists, educators, community leaders, and more - can make the case for and also advocate through arts and culture to drive systemic change and address complex challenges. The project seeks to expand the knowledge base of case-making and systems change in the field of arts and cultural education and provide resources to support effective actions for practitioners and young creatives. Investigating both the theory and the practice of case-making, the introductory article draws on research from three distinct sectors: cultural, education, and social justice. The approach represents both the science of advocacy-- building blocks for understanding what effective advocacy looks like-- and the art of advocacy with calls for improvisation, adaptability, and generative thinking, all characteristics of art making. The article describes six key learning themes and an expanded model for advocacy focused on self, field, and sector through an overarching lens of social justice.
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8

Singh, Ranjit, Borhane Blili-Hamelin, Carol Anderson, et al. Red-Teaming in the Public Interest. Data & Society Research Institute, 2025. https://doi.org/10.69985/vvgp4368.

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The increasing power and availability of generative AI (genAI) systems has led regulators, technologists, and members of the public to call for new safety practices to anticipate harms and protect the public interest. One early and promising approach, drawing from cybersecurity and military practices, is red-teaming, in which designated teams use adversarial methods to identify vulnerabilities in systems. Drawing on 26 semi-structured interviews and participant observation at three public red-teaming events - and based on a collaborative research project between Data &amp; Society and AI Risk and Vulnerability Alliance (ARVA) - Red-Teaming in the Public Interest examines how red-teaming methods are being adapted to evaluate genAI.
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9

Tang, H. Generative network-based approaches to generate stochastic realizations. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2341957.

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10

Ennasr, Osama, Charles Ellison, Anton Netchaev, Ahmet Soylemezoglu, and Garry Glaspell. Unmanned ground vehicle (UGV) path planning in 2.5D and 3D. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47459.

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Herein, we explored path planning in 2.5D and 3D for unmanned ground vehicle (UGV) applications. For real-time 2.5D navigation, we investigated generating 2.5D occupancy grids using either elevation or traversability to determine path costs. Compared to elevation, traversability, which used a layered approach generated from surface normals, was more robust for the tested environments. A layered approached was also used for 3D path planning. While it was possible to use the 3D approach in real time, the time required to generate 3D meshes meant that the only way to effectively path plan was to use a preexisting point cloud environment. As a result, we explored generating 3D meshes from a variety of sources, including handheld sensors, UGVs, UAVs, and aerial lidar.
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