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Relevant bibliographies by topics / Dynamic Representation Learning / Dissertations / Theses

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Dissertations / Theses on the topic 'Dynamic Representation Learning'

Author: Grafiati

Published: 22 June 2024

Last updated: 31 July 2025

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1

Stefanidis, Achilleas. "Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278817.

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Enterprises use live video streaming as a mean of communication. Streaming high-quality video to thousands of devices in a corporate network is not an easy task; the bandwidth requirements often exceed the network capacity. For that matter, Peer-To-Peer (P2P) networks have been proven beneficial, as peers can exchange content efficiently by utilizing the topology of the corporate network. However, such networks are dynamic and their topology might not always be known. In this project we propose ABD, a new dynamic graph representation learning approach, which aims to estimate the bandwidth capa

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Liemhetcharat, Somchaya. "Representation, Planning, and Learning of Dynamic Ad Hoc Robot Teams." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/304.

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Forming an effective multi-robot team to perform a task is a key problem in many domains. The performance of a multi-robot team depends on the robots the team is composed of, where each robot has different capabilities. Team performance has previously been modeled as the sum of single-robot capabilities, and these capabilities are assumed to be known. Is team performance just the sum of single-robot capabilities? This thesis is motivated by instances where agents perform differently depending on their teammates, i.e., there is synergy in the team. For example, in human sports teams, a well-tra

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McGarity, Michael Computer Science &amp Engineering Faculty of Engineering UNSW. "Heterogeneous representations for reinforcement learning control of dynamic systems." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2004. http://handle.unsw.edu.au/1959.4/19350.

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Intelligent agents are designed to interact with, and learn about, their environment so that they can act purposefully towards a goal. One class of problems encountered in building such agents is learning how to respond to dynamic systems with a continuous state space. The goals of this dissertation are to develop a framework for understanding the behaviour of partitioned dynamic systems with continuous underlying state and to translate this framework into algorithms which adaptively form a partition of the continuous space such that the partitioned system is more easily learned and controlled

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Woodbury, Nathan Scott. "Representation and Reconstruction of Linear, Time-Invariant Networks." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7402.

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Network reconstruction is the process of recovering a unique structured representation of some dynamic system using input-output data and some additional knowledge about the structure of the system. Many network reconstruction algorithms have been proposed in recent years, most dealing with the reconstruction of strictly proper networks (i.e., networks that require delays in all dynamics between measured variables). However, no reconstruction technique presently exists capable of recovering both the structure and dynamics of networks where links are proper (delays in dynamics are not required)

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5

Ribeiro, Andre Figueiredo. "Graph dynamics : learning and representation." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34184.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.<br>Includes bibliographical references (p. 58-60).<br>Graphs are often used in artificial intelligence as means for symbolic knowledge representation. A graph is nothing more than a collection of symbols connected to each other in some fashion. For example, in computer vision a graph with five nodes and some edges can represent a table - where nodes correspond to particular shape descriptors for legs and a top, and edges to particular spatial relations. As a fram

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6

Terreau, Enzo. "Apprentissage de représentations d'auteurs et d'autrices à partir de modèles de langue pour l'analyse des dynamiques d'écriture." Electronic Thesis or Diss., Lyon 2, 2024. http://www.theses.fr/2024LYO20001.

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La démocratisation récente et massive des outils numériques a donné à tous le moyen de produire de l'information et de la partager sur le web, que ce soit à travers des blogs, des réseaux sociaux, des plateformes de partage, ... La croissance exponentielle de cette masse d'information disponible, en grande partie textuelle, nécessite le développement de modèles de traitement automatique du langage naturel (TAL), afin de la représenter mathématiquement pour ensuite la classer, la trier ou la recommander. C'est l'apprentissage de représentation. Il vise à construire un espace de faible dimension

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7

Pinder, Ross Andrew. "Representative learning design in dynamic interceptive actions." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/59803/1/Ross_Pinder_Thesis.pdf.

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The overarching aim of this thesis was to investigate how processes of perception and action emerge under changing informational constraints during performance of multi-articular interceptive actions. Interceptive actions provide unique opportunities to study processes of perception and action in dynamic performance environments. The movement model used to exemplify the functionally coupled relationship between perception and action, from an ecological dynamics perspective, was cricket batting. Ecological dynamics conceptualises the human body as a complex system composed of many interacting s

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8

Moremoholo, T. P. "A review of how to optimize learning from external representations." Journal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein, 2013. http://hdl.handle.net/11462/635.

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Published Article<br>This article reviews research on learning with external representations and provides a theoretical background on how to optimize learning from external representations. General factors, such as the type of material to be learned, learner characteristics and the testing method, are some of the variables that can determine if graphic medium can increase a subject's comprehension and if such comprehension can be accurately measured. These factors are discussed and represented by a model to suggest how external representations can be effectively used in a learning environment.

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9

Delasalles, Edouard. "Inferring and Predicting Dynamic Representations for Structured Temporal Data." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS296.

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Les données temporelles constituent une partie importante des données digitales. Prévoir leurs prochaines valeurs est une tâche importante et difficile. Les méthodes statistiques standard sont fondées sur des modèles linéaires souvent limitées aux données de faible dimension. Ici, nous utilisons plutôt des méthodes d'apprentissage profond capables de traiter des données structurées en haute dimension. Dans cette thèse, nous nous intéressons aux modèles à variables latentes. Contrairement aux modèles auto-régressifs qui utilisent directement des données passées pour effectuer des prédictions, l

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10

Mccosker, Christopher Mark. "Interacting constraints in high performance long jumping." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/204284/1/Christopher_McCosker_Thesis.pdf.

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This thesis details a series of studies investigating long jump locomotor pointing tasks through a theoretical framework of ecological dynamics. A multi-methods approach was used to investigate athlete behaviours in competition environments revealing the complexities of field-based locomotor pointing tasks, providing important information for the design of practice environments for practitioners. The development of a new substantive theoretical model of perform, respond and manage, presents as a novel tool for practitioners in understanding emergent behaviour in long jump and can be used to be

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11

Galmbacher, Matthias. "Lernen mit dynamisch-ikonischen Repräsentationen aufgezeigt an Inhalten zur Mechanik Learning from dynamic-iconic representations /." kostenfrei, 2007. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2008/2927/.

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12

Martignano, Anna. "Real-time Anomaly Detection on Financial Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281832.

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This work presents an investigation of tailoring Network Representation Learning (NRL) for an application in the Financial Industry. NRL approaches are data-driven models that learn how to encode graph structures into low-dimensional vector spaces, which can be further exploited by downstream Machine Learning applications. They can potentially bring a lot of benefits in the Financial Industry since they extract in an automatic way features that can provide useful input regarding graph structures, called embeddings. Financial transactions can be represented as a network, and through NRL, it is

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13

Lee, Hyoseon. "An Investigation of L2 Academic Writing Anxiety: Case Studies of TESOL MA Students." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1573785567179317.

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14

Rehn, Martin. "Aspects of memory and representation in cortical computation." Doctoral thesis, KTH, Numerisk Analys och Datalogi, NADA, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4161.

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Denna avhandling i datalogi föreslår modeller för hur vissa beräkningsmässiga uppgifter kan utföras av hjärnbarken. Utgångspunkten är dels kända fakta om hur en area i hjärnbarken är uppbyggd och fungerar, dels etablerade modellklasser inom beräkningsneurobiologi, såsom attraktorminnen och system för gles kodning. Ett neuralt nätverk som producerar en effektiv gles kod i binär mening för sensoriska, särskilt visuella, intryck presenteras. Jag visar att detta nätverk, när det har tränats med naturliga bilder, reproducerar vissa egenskaper (receptiva fält) hos nervceller i lager IV i den primära

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15

Orth, Dominic R. "Dynamics of acquiring adaptive skills in a complex multi-articular task: Constraints on metastable actions." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/94003/4/Dominic_Orth_Thesis.pdf.

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This thesis presents data supporting a re-definition of the concept of learning and transfer of skills in physical activity and sport performance contexts. The key findings indicate that during practice, environmental designs that promote exploratory behaviour facilitate improved performance in modified conditions.

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16

Barris, Coralie Sian. "An examination of learning design in elite springboard diving." Thesis, Queensland University of Technology, 2013. https://eprints.qut.edu.au/63807/1/Coralie_Barris_Thesis.pdf.

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The overarching aim of this programme of work was to evaluate the effectiveness of the existing learning environment within the Australian Institute of Sport (AIS) elite springboard diving programme. Unique to the current research programme, is the application of ideas from an established theory of motor learning, specifically ecological dynamics, to an applied high performance training environment. In this research programme springboard diving is examined as a complex system, where individual, task, and environmental constraints are continually interacting to shape performance. As a consequen

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17

Bodin, Camilla. "Automatic Flight Maneuver Identification Using Machine Learning Methods." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165844.

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This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. The suggested approach succeeded in generating binary classifiers and multiclass classifiers that identified six flight maneuvers of different complexity from real flight test data. The binary classifiers solved the problem of identifying one maneuver from flight tes

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Wolf, Christian Marc, and chris@adaptive-learning net. "Construction of an Adaptive E-learning Environment to Address Learning Styles and an Investigation of the Effect of Media Choice." RMIT University. Education, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080625.093019.

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This study attempted to combine the benefits of multimedia learning, adaptive interfaces, and learning style theory by constructing a novel e-learning environment. The environment was designed to accommodate individual learning styles while students progressed through a computer programming course. Despite the benefits of individualised instruction and a growing worldwide e-learning market, there is a paucity of guidance on how to effectively accommodate learning styles in an online environment. Several existing learning-style adaptive environments base their behaviour on an initial asses

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19

Molter, Colin. "Storing information through complex dynamics in recurrent neural networks." Doctoral thesis, Universite Libre de Bruxelles, 2005. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211039.

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The neural net computer simulations which will be presented here are based on the acceptance of a set of assumptions that for the last twenty years have been expressed in the fields of information processing, neurophysiology and cognitive sciences. First of all, neural networks and their dynamical behaviors in terms of attractors is the natural way adopted by the brain to encode information. Any information item to be stored in the neural net should be coded in some way or another in one of the dynamical attractors of the brain and retrieved by stimulating the net so as to trap its dynamics in

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20

Moongathottathil, James Ashwin. "Apprentissage de la structure pour modéliser le comportement individuel." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4056.

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Les algorithmes traditionnels d'apprentissage par renforcement (RL) se concentrent principalement sur la sélection d'actions qui maximisent les récompenses, mais la prise de décision dans le monde réel implique bien plus que l'optimisation des récompenses. Elle exige également que les individus construisent des représentations internes de l'environnement, un aspect qui a reçu moins d'attention dans les études comportementales. Dans ce travail, nous présentons un cadre computationnel novateur qui approfondit notre compréhension du processus de prise de décision en intégrant ces représentations

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21

Costa, Fabiana Marques 1974. "Aquisição de conhecimento de agentes textuais baseada em MORPH." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267788.

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Orientador: Antonio Carlos Zambon<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Tecnologia<br>Made available in DSpace on 2018-08-19T23:02:19Z (GMT). No. of bitstreams: 1 Costa_FabianaMarques_M.pdf: 2422520 bytes, checksum: 966c5b82f59168e9a1400b9b58760301 (MD5) Previous issue date: 2012<br>Resumo: Esta pesquisa fundamenta-se no desenvolvimento de um método de aquisição de conhecimento de agentes textuais baseada em MORPH - Modelo Orientado à Representação do Pensamento Humano - que permite que se extraia o modelo mental de agentes textuais. O objetivo é evidenc

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22

Fan, Huiyuan. "Sequential frameworks for statistics-based value function representation in approximate dynamic programming." 2008. http://hdl.handle.net/10106/1099.

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23

Chen, Chun-Ming, and 陳浚銘. "Establishing a Learning Module by Multiple Representation and Dynamic Assessment – An Example of Square Root Approximation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/01743373694066598249.

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碩士<br>國立彰化師範大學<br>數學系所<br>98<br>This study aims to develop a learning module, that learners studied by themselves. This module designed by multiple representation、dynamic assessment and precept theory and used the interaction of multimedia computer and the properties of multiple representation. This module not only supports the learning environment with images and voice for learners, and promptly gives learners the feedback by interactive technology. The feedback contains different degree of guidance and explaining the puzzles. By these ways develop the learners’ procedural and conceptual know

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Chang, Li-Fu, and 張力夫. "Exploring the effect of dynamic and static representation on conceptual learning: An example of wave superposition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/71594125267847317349.

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碩士<br>國立交通大學<br>理學院科技與數位學習學程<br>100<br>This study aimed to explore influence on outcomes of scientific conceptual construction through teaching principles of wave superposition with “dynamic representation” or “static representation”.To achieve the purpose of research, a quasi-experimental design was conduced, high school students in the Northen Taiwan. Dynamic or static representation was incorporated into a design of instruction on wave superposition. Students in the experimental group Ⅰ received instruction incorporating dynamic representations. Students in the experimental group Ⅱreceived

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Chang, Chao-Min, and 張朝閔. "Exploring the effect of dynamic or static representation with sequential problem scaffolding on 10th grade stusents' conceptual learning about projectile motion." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/11478260118209823650.

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碩士<br>國立交通大學<br>理學院科技與數位學習學程<br>103<br>This purpose of this study is to explore the influence of “dynamic representation”or“static representation”on teaching.By supplementing or without sequential scaffolding problem to discover the influence on studnets’learning performance and concept profile. To achieve the purpose of research, quasi-experimental design was conduced. Some first-grade students in high school in central Taiwan are divided into three groups. And those students were given three lessons as a teaching experiment.Three groups were given different experiemental design individually.

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Dazeley, RP. "To The Knowledge Frontier and Beyond: A Hybrid System for Incremental Contextual- Learning and Prudence Analysis." Thesis, 2006. https://eprints.utas.edu.au/8173/1/01_Front_PhD_Thesis_Final_13-06-2007.pdf.

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Increasingly, researchers and developers of knowledge based systems (KBS) have been attempting to incorporate the notion of context. For instance, Repertory Grids, Formal Concept Analysis (FCA) and Ripple-Down Rules (RDR) all integrate either implicit or explicit contextual information. However, these methodologies treat context as a static entity, neglecting many connectionists’ work in learning hidden and dynamic contexts. This thesis argues that the omission of these higher forms of context, which allow connectionist systems to generalise effectively, is one of the fundamental proble

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Hsiung, Ching-Yun, and 熊青耘. "A Study of Influence on Learning Outcomes and Cognitive Load of Using Dynamic Representation on Four Arithmetic Operations of Integer on Elementary School Students." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/6pp27c.

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碩士<br>國立臺北科技大學<br>技術及職業教育研究所<br>102<br>This study used dynamic representation on four arithmetic operations of integer for fourth grade students. There were two main purpose of this study. One was developing a dynamic representation design teaching material. The other was exploring dynamic representation’s influence on different levels students’ learning outcomes and cognitive load. The research method was a quasi-experimental research design. There were 50 fourth grade students selected from one elementary school to participate four lessons long experiment. One of the two classes was assigned

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McGarity, Michael. "Heterogeneous representations for reinforcement learning control of dynamic systems /." 2004. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20040414.135809/index.html.

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29

(6990443), Sree Bala Shrut Bhamidi. "Residual Capsule Network." Thesis, 2019.

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<p>The Convolutional Neural Network (CNN) have shown a substantial improvement in the field of Machine Learning. But they do come with their own set of drawbacks. Capsule Networks have addressed the limitations of CNNs and have shown a great improvement by calculating the pose and transformation of the image. Deeper networks are more powerful than shallow networks but at the same time, more difficult to train. Residual Networks ease the training and have shown evidence that they can give good accuracy with considerable depth. Putting the best of Capsule Network and Residual Network together, w

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Tsay, Jyh-Ren, and 蔡志仁. "A Study of Learning Ellipse with Dynamic Linked Multiple Representations Windows." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/61965092889608537024.

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碩士<br>國立臺灣師範大學<br>數學研究所<br>88<br>This study initially investigated the learning processes of high-school students and how they represent elliptical concepts and interlink them. The results were used to develop computer based instructional tools. The way in which these tools affected the student’s representations was then studied. The research was in two parts: Initially nine student volunteers participated in the study; each was given diagnostic teaching. It was found that the main external representations of elliptical concepts are verbal, graphical, structural, formulaic, and locu

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Hsu, Chi-Chiang, and 許技江. "The study of learning the multiplication of complex numbers with dynamic linked multiple representations windows." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/50871603351740021502.

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Sousa, Emanuel Augusto Freitas de. "On learning and generalizing representations in a dynamic field based architecture for human-robot interaction." Doctoral thesis, 2015. http://hdl.handle.net/1822/36642.

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Programa Doutoral em Engenharia Eletrónica e de Computadores<br>Due to the increasing demand for adaptive robots able to assist humans in their everyday tasks, furnishing robots with learning abilities is one of the most important goals of current robotics research. The work reported in this thesis is focused on the integration of learning capacities in an existing Dynamic Field based control architecture developed for natural human-robot collaboration. Specifically, it addresses two important serial order problems that appear in the architecture at distinct but closely coupled levels of abstr

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CAPOBIANCO, ROBERTO. "Interactive generation and learning of semantic-driven robot behaviors." Doctoral thesis, 2017. http://hdl.handle.net/11573/942393.

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The generation of adaptive and reflexive behavior is a challenging task in artificial intelligence and robotics. In this thesis, we develop a framework for knowledge representation, acquisition, and behavior generation that explicitly incorporates semantics, adaptive reasoning and knowledge revision. By using our model, semantic information can be exploited by traditional planning and decision making frameworks to generate empirically effective and adaptive robot behaviors, as well as to enable complex but natural human-robot interactions. In our work, we introduce a model of semantic m

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劉光中. "A study of the influence of manipulating dynamic representations on learning effect:taking limits of functions and derivatives units as examples." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/15353659339330169958.

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碩士<br>國立嘉義大學<br>數學教育研究所<br>95<br>The purpose of this study is to probe into the influence of manipulating dynamic representations on the performance of senior vocational school students. A total of 319 senior vocational school students participated in this survey process. The respondents’ background misconception were collected and measured by using the researcher-designed questionnaire. Then 76 second-grade students taught by the researcher were taken as the mainly study object. The collected data were statistically analyzed by using ANCOVA and qualitative observation models. Results and evid

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"Accuracy and Computational Stability of Tensorally-Correct Subgrid Stress and Scalar Flux Representations in Autonomic Closure of LES." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.62994.

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abstract: Autonomic closure is a recently-proposed subgrid closure methodology for large eddy simulation (LES) that replaces the prescribed subgrid models used in traditional LES closure with highly generalized representations of subgrid terms and solution of a local system identification problem that allows the simulation itself to determine the local relation between each subgrid term and the resolved variables at every point and time. The present study demonstrates, for the first time, practical LES based on fully dynamic implementation of autonomic closure for the subgrid stress and the su

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(9189470), Abhinand Ayyaswamy. "Computational Modeling of Hypersonic Turbulent Boundary Layers By Using Machine Learning." Thesis, 2020.

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A key component of research in the aerospace industry constitutes hypersonic flights (M>5) which includes the design of commercial high-speed aircrafts and development of rockets. Computational analysis becomes more important due to the difficulty in performing experiments and reliability of its results at these harsh operating conditions. There is an increasing demand from the industry for the accurate prediction of wall-shear and heat transfer with a low computational cost. Direct Numerical Simulations (DNS) create the standard for accuracy, but its practical usage is difficult and limited b

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