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Relevant bibliographies by topics / Continuous Learning / Dissertations / Theses

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Dissertations / Theses on the topic 'Continuous Learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Effraimidis, Dimitros. "Computation approaches for continuous reinforcement learning problems." Thesis, University of Westminster, 2016. https://westminsterresearch.westminster.ac.uk/item/q0y82/computation-approaches-for-continuous-reinforcement-learning-problems.

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Optimisation theory is at the heart of any control process, where we seek to control the behaviour of a system through a set of actions. Linear control problems have been extensively studied, and optimal control laws have been identified. But the world around us is highly non-linear and unpredictable. For these dynamic systems, which don’t possess the nice mathematical properties of the linear counterpart, the classic control theory breaks and other methods have to be employed. But nature thrives by optimising non-linear and over-complicated systems. Evolutionary Computing (EC) methods exploit

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2

Welby-Solomon, Vanessa. "The continuous learning cycle. Investigating possibilities for experiential learning." Thesis, University of the Western Cape, 2015. http://hdl.handle.net/11394/5357.

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Magister Educationis (Adult Learning and Global Change) - MEd(AL)<br>Scholars focusing on experiential learning argue that experience should be considered as critical for adult learning. This research paper frames experiential learning within a Constructivist framework. This paper focuses on an investigation into the ways that facilitators use the Continuous Learning Cycle, a model for learning based on Kolb's Learning Cycle, to facilitate learning through experience during the triad skills observation role-play in a workshop, which is part of an induction programme, for a retail bank. Indicat

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Johannemann, Jonathan. "COAL : a continuous active learning system." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111453.

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Thesis: M. Fin., Massachusetts Institute of Technology, Sloan School of Management, Master of Finance Program, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 59-60).<br>In this thesis, our objective is to enable businesses looking to enhance their product by varying its attributes, where effectiveness of the new product is assessed by humans. To achieve this, we mapped the task to a machine learning problem. The solution is two fold: learn a non linear model that can map the attribute space to the human response, which can then be used to make pred

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Boyer, Eric. "Continuous auditory feedback for sensorimotor learning." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066165/document.

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Notre système sensorimoteur a développé une relation particulière entre nos actions et le retour sonore qui en découle. Les systèmes de captation gestuelle et les technologies audio permettent de manipuler ce retour sonore par la sonification interactive du mouvement. Nous explorons dans divers cadres expérimentaux la contribution de la sonification à l'apprentissage moteur dans les systèmes interactifs. Tout d'abord, nous montrons que le système auditif intègre des indices acoustiques issus du mouvement pour le contrôle moteur. Des représentations de l'espace émergent de ces indices et sont t

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Nichols, B. "Reinforcement learning in continuous state- and action-space." Thesis, University of Westminster, 2014. https://westminsterresearch.westminster.ac.uk/item/967w8/reinforcement-learning-in-continuous-state-and-action-space.

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Reinforcement learning in the continuous state-space poses the problem of the inability to store the values of all state-action pairs in a lookup table, due to both storage limitations and the inability to visit all states sufficiently often to learn the correct values. This can be overcome with the use of function approximation techniques with generalisation capability, such as artificial neural networks, to store the value function. When this is applied we can select the optimal action by comparing the values of each possible action; however, when the action-space is continuous this is not p

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6

Stefano, Alexandra di. "Beyond the rhetoric : a grounded perspective on learning company and learning community relationships." Thesis, Open University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343744.

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Dahlberg, Leslie. "Evolutionary Computation in Continuous Optimization and Machine Learning." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35674.

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Evolutionary computation is a field which uses natural computational processes to optimize mathematical and industrial problems. Differential Evolution, Particle Swarm Optimization and Estimation of Distribution Algorithm are some of the newer emerging varieties which have attracted great interest among researchers. This work has compared these three algorithms on a set of mathematical and machine learning benchmarks and also synthesized a new algorithm from the three other ones and compared it to them. The results from the benchmark show which algorithm is best suited to handle various machin

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8

Tappen, Marshall Friend 1976. "Learning continuous models for estimating intrinsic component images." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37878.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Also issued in pages.<br>MIT Rotch Library copy: issued in pages.<br>Includes bibliographical references (leaves 137-144).<br>The goal of computer vision is to use an image to recover the characteristics of a scene, such as its shape or illumination. This is difficult because an image is the mixture of multiple characteristics. For example, an edge in an image could be caused by either an edge on a surface or a change in the surface's color. Distinguishing the effects of diffe

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Tummala, Akhil. "Self-learning algorithms applied in Continuous Integration system." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16675.

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Context: Continuous Integration (CI) is a software development practice where a developer integrates a code into the shared repository. And, then an automated system verifies the code and runs automated test cases to find integration error. For this research, Ericsson’s CI system is used. The tests that are performed in CI are regression tests. Based on the time scopes, the regression test suites are categorized into hourly and daily test suits. The hourly test is performed on all the commits made in a day, whereas the daily test is performed at night on the latest build that passed the hourly

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Pinto, Rafael Coimbra. "Continuous reinforcement learning with incremental Gaussian mixture models." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/157591.

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A contribução original desta tese é um novo algoritmo que integra um aproximador de funções com alta eficiência amostral com aprendizagem por reforço em espaços de estados contínuos. A pesquisa completa inclui o desenvolvimento de um algoritmo online e incremental capaz de aprender por meio de uma única passada sobre os dados. Este algoritmo, chamado de Fast Incremental Gaussian Mixture Network (FIGMN) foi empregado como um aproximador de funções eficiente para o espaço de estados de tarefas contínuas de aprendizagem por reforço, que, combinado com Q-learning linear, resulta em performance com

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Grönland, Axel, and Möllerstedt Viktor Eriksson. "Robust Reinforcement Learning in Continuous Action/State Space." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293879.

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In this project we aim to apply Robust Reinforce-ment Learning algorithms, presented by Doya and Morimoto [1],[2], to control problems. Specifically, we train an agent to balancea pendulum in the unstable equilibrium, which is the invertedstate.We investigate the performance of controllers based on twodifferent function approximators. One is quadratic, and the othermakes use of a Radial Basis Function neural network. To achieverobustness we will make use of an approach similar toH∞control, which amounts to introducing an adversary in the controlsystem.By changing the mass of the pendulum after

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Tron, Gianet Eric. "A Continuous Bond." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-24020.

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As Digital Personal Assistants get increasingly present in our lives, repositioning Conversational Interfaces within Interaction Design could be beneficial. More contributions seem possible beyond the commercial vision of Conversational Agents as digital assistants. In this thesis, Design fiction is adopted as an approach to explore a future for these technologies, focusing on the possible social and ritual practices that might arise when Conversational Agents and Artificial Intelligence are employed in contexts such as mortality and grief. As a secondary but related concern, it is argued that

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Fernández, López Adriana. "Learning of meaningful visual representations for continuous lip-reading." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/671206.

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In the last decades, there has been an increased interest in decoding speech exclusively using visual cues, i.e. mimicking the human capability to perform lip-reading, leading to Automatic Lip-Reading (ALR) systems. However, it is well known that the access to speech through the visual channel is subject to many limitations when compared to the audio channel, i.e. it has been argued that humans can actually read around 30% of the information from the lips, and the rest is filled-in from the context. Thus, one of the main challenges in ALR resides in the visual ambiguities that arise at

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Vogt, David. "Learning Continuous Human-Robot Interactions from Human-Human Demonstrations." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2018. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-233262.

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In der vorliegenden Dissertation wurde ein datengetriebenes Verfahren zum maschinellen Lernen von Mensch-Roboter Interaktionen auf Basis von Mensch-Mensch Demonstrationen entwickelt. Während einer Trainingsphase werden Bewegungen zweier Interakteure mittels Motion Capture erfasst und in einem Zwei-Personen Interaktionsmodell gelernt. Zur Laufzeit wird das Modell sowohl zur Erkennung von Bewegungen des menschlichen Interaktionspartners als auch zur Generierung angepasster Roboterbewegungen eingesetzt. Die Leistungsfähigkeit des Ansatzes wird in drei komplexen Anwendungen evaluiert, die jeweil

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Appl, Martin [Verfasser]. "Model based reinforcement learning in continuous environments / Martin Appl." Unterhaching : Martin Appl, 2001. http://www.martinappl.de.

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Stover, Mark E. (Mark Eugene). "Enabling waste elimination, learning, and continuous improvement through standardization." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34867.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005.<br>Includes bibliographical references (leaf 92).<br>Many manufacturing companies have developed their own operating system, usually based upon the Toyota Production System, in an effort to improve productivity, quality, and profitability. Continuous improvement is a central theme to most operating systems. Typically large continuous improvemen

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Dai, Hai Min (Rita). "Continuous Learning in MOOCs: Insights from Chinese MOOC Learners." Thesis, Dai, Hai Min (Rita) (2020) Continuous Learning in MOOCs: Insights from Chinese MOOC Learners. PhD thesis, Murdoch University, 2020. https://researchrepository.murdoch.edu.au/id/eprint/58864/.

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Despite their great potential in democratising education, the effectiveness of Massive Open Online Courses (MOOCs) in promoting learning has been constantly questioned due to the well-reported high dropout rates. The current research, structured into three manuscripts, aims to gain more insight into this issue and promote learners’ retention in MOOCs. Multiple data sources from Chinese learners are used to explore the psychological processes underlying learners’ behaviours and validate the proposed hypotheses derived from relevant literature. By modifying and extending the Expectation Confirma

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Celemin, Páez Carlos Eduardo. "A framework for learning continuous actions from corrective advice." Tesis, Universidad de Chile, 2018. http://repositorio.uchile.cl/handle/2250/168149.

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Doctor en Ingeniería Eléctrica<br>Esta tesis presenta un método que permite que usuarios no expertos enseñen agentes a ejecutar tareas complejas durante tiempo de ejecución, con el principal propósito de acelerar la convergencia del aprendizaje y mejorar el desempeño final de las políticas aprendidas. En este sentido, se propone COrrective Advice Communicated by Humans (COACH), un framework interactivo para entrenar políticas con vagas correcciones respecto a las acciones ejecutadas, las cuales son cambios relativos de la magnitud de las acciones que están siendo ejecutadas. Así, los usuarios

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Ferns, Norman Francis. "State-similarity metrics for continuous Markov decision processes." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103383.

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In recent years, various metrics have been developed for measuring the similarity of states in probabilistic transition systems (Desharnais et al., 1999; van Breugel & Worrell, 2001a). In the context of Markov decision processes, we have devised metrics providing a robust quantitative analogue of bisimulation. Most importantly, the metric distances can be used to bound the differences in the optimal value function that is integral to reinforcement learning (Ferns et al. 2004; 2005). More recently, we have discovered an efficient algorithm to calculate distances in the case of finite systems (F

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20

Zhang, Hauyi. "Similarity Search in Continuous Data with Evolving Distance Metric." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1253.

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Similarity search is a task fundamental to many machine learning and data analytics applications, where distance metric learning plays an important role. However, since modern online applications continuously produce objects with new characteristics which tend to change over time, state-of-the-art similarity search using distance metric learning methods tends to fail when deployed in such applications without taking the change into consideration. In this work, we propose a Distance Metric Learning-based Continuous Similarity Search approach (CSS for short) to account for the dynamic nature of

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Abd, Gaus Yona Falinie. "Artificial intelligence system for continuous affect estimation from naturalistic human expressions." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/16348.

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The analysis and automatic affect estimation system from human expression has been acknowledged as an active research topic in computer vision community. Most reported affect recognition systems, however, only consider subjects performing well-defined acted expression, in a very controlled condition, so they are not robust enough for real-life recognition tasks with subject variation, acoustic surrounding and illumination change. In this thesis, an artificial intelligence system is proposed to continuously (represented along a continuum e.g., from -1 to +1) estimate affect behaviour in terms o

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Hagen, Stephanus Hendrikus Gerhardus ten. "Continuous state space Q-learning for control of nonlinear systems." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2001. http://dare.uva.nl/document/58530.

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23

Stone, Chritopher. "Learning classifier systems for decision making in continuous-valued domains." Thesis, University of the West of England, Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.421702.

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This thesis investigates Learning Classifier System architectures for decision making in continuous-valued domains. The information contained in continuous-valued domains is not always conveniently expressed using the ternary representation typically used by Learning Classifier Systems and an interval-based representation is a natural choice. Two intervalbased representations recently proposed are analysed, together with their associated operators. Evidence of considerable representational and operator bias is found. A new interval-based representation is proposed that is more straightforward

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Lu, Haoye. "Function Optimization-based Schemes for Designing Continuous Action Learning Automata." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39097.

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The field of Learning Automata (LA) has been studied and analyzed extensively for more than four decades; however, almost all the papers have concentrated on the LA working in Environments that have a finite number of actions. This is a well-established model of computation, and expedient, epsilon-optimal and absolutely expedient machines have been designed for stationary and non-stationary Environments. There are only a few papers which deal with Environments possessing an infinite number of actions. These papers assume a well-defined and rather simple uni-modal functional form, like the Gaus

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Teo, Raymond Ashton. "Continuous improvement to the construction industry : enhancing quality through learning." Thesis, Heriot-Watt University, 2006. http://hdl.handle.net/10399/2012.

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Halper, Leah R. "Continuous Learning: Choosing and Allocating Resources to Strengths and Weaknesses." Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1427828223.

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Mufida, Miratul Khusna. "Deep learning for continuous parking occupancy forecasting in urban environments." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2023. http://www.theses.fr/2023UPHF0024.

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L'apprentissage profond a été largement adopté dans divers domaines en raison de sa capacité à extraire des caractéristiques complexes à partir de grandes quantités de données. Dans cette thèse, nous proposons une approche basée sur l'apprentissage profond pour la prédiction continue de l'occupation des parkiL'apprentissage profond a été largement adopté dans divers domaines en raison de sa capacité à extraire des caractéristiques complexes à partir de grandes quantités de données. Dans cette thèse, nous proposons une approche basée sur l'apprentissage profond pour la prédiction continue de l'

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Kulich, Martin. "Dynamic Template Adjustment in Continuous Keystroke Dynamics." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234927.

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Dynamika úhozů kláves je jednou z behaviorálních biometrických charakteristik, kterou je možné použít pro průběžnou autentizaci uživatelů. Vzhledem k tomu, že styl psaní na klávesnici se v čase mění, je potřeba rovněž upravovat biometrickou šablonu. Tímto problémem se dosud, alespoň pokud je autorovi známo, žádná studie nezabývala. Tato diplomová práce se pokouší tuto mezeru zaplnit. S pomocí dat o časování úhozů od 22 dobrovolníků bylo otestováno několik technik klasifikace, zda je možné je upravit na online klasifikátory, zdokonalující se bez učitele. Výrazné zlepšení v rozpoznání útočníka b

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Ewing, Gabriel. "Knowledge Transfer from Expert Demonstrations in Continuous State-Action Spaces." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1512748071082221.

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Dillon, Noreen M. Lyman Linda L. "Reflective practice a pathway for continuous learning and growth for principals /." Normal, Ill. : Illinois State University, 2005. http://proquest.umi.com/pqdweb?index=0&did=1225103391&SrchMode=1&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1176384102&clientId=43838.

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Thesis (Ed. D.)--Illinois State University, 2005.<br>Title from title page screen, viewed April 12, 2007. Dissertation Committee: Linda Lyman (chair), Wendy Troxel, Joe Pacha, Sally Weber. Includes bibliographical references (leaves 122-131) and abstract. Also available in print.

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Chapala, Usha Kiran, and Sridhar Peteti. "Continuous Video Quality of Experience Modelling using Machine Learning Model Trees." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 1996. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17814.

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Adaptive video streaming is perpetually influenced by unpredictable network conditions, whichcauses playback interruptions like stalling, rebuffering and video bit rate fluctuations. Thisleads to potential degradation of end-user Quality of Experience (QoE) and may make userchurn from the service. Video QoE modelling that precisely predicts the end users QoE underthese unstable conditions is taken into consideration quickly. The root cause analysis for thesedegradations is required for the service provider. These sudden changes in trend are not visiblefrom monitoring the data from the underlyi

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Weissberg, Andra Sloane. "A data driven approach to quality assurance, continuous improvement, and learning." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/28100.

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Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1994, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1994.<br>Includes biographical references (p. 129-131).<br>by Andra Sloane Weissberg.<br>M.S.

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Gleespen, Abney Varner. "The development of coworker relationships that support or inhibit continuous learning /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487946103567439.

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Razavian, Narges Sharif. "Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/340.

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Generative models of protein structure enable researchers to predict the behavior of proteins under different conditions. Continuous graphical models are powerful and efficient tools for modeling static and dynamic distributions, which can be used for learning generative models of molecular dynamics. In this thesis, we develop new and improved continuous graphical models, to be used in modeling of protein structure. We first present von Mises graphical models, and develop consistent and efficient algorithms for sparse structure learning and parameter estimation, and inference. We compare our m

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NEELY, Constance, Ed KANEMASU, and Julia EARL. "Creating a Continuous Learning System: Participation and Evaluation in Agriculture Development Projects." 名古屋大学農学国際教育研究センター, 2004. http://hdl.handle.net/2237/8885.

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Boadway, John J. "Reinforcement learning in the continuous double auction and the trading agents competition." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=78249.

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In this thesis we investigate if reinforcement learning (RL) techniques can be successfully used to build automated trading agents.<br>We present two case studies in which we develop RL agents for participating in auctions. The first case study focuses on the continuous double auction (CDA), a market mechanism used in many electronic trading venues. There are currently several automated bidding strategies for participating in the CDA, geared both toward personal profit and toward increasing the efficiency of the entire market. We use model-free reinforcement learning to construct a bidd

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Wyatt, David Ian. "Applying the XCS Learning Classifier System to continuous-valued data-mining problems." Thesis, University of the West of England, Bristol, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409290.

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Saban, Alon. "Learning, continuous improvement, world class manufacturing and the South African plastics industry." Master's thesis, University of Cape Town, 1996. http://hdl.handle.net/11427/9656.

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Bibliography: leaves 62-66.<br>South African manufacturers are re-entering the global market where competition is fierce. Greater and faster learning is necessary for organisational survival in the turbulent global market Learning is understood to be a continuous cycle of activities. Continuous Improvement is shown to be a continuous learning cycle. World Class Manufacturing methodologies are described as being an effective manner to make performance improvements as they are based on Continuous Improvement. Reviews of Learning, Continuous Improvement and World Class Manufacturing methodologies

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Van, De Leur Michiel Christiaan Wernick <1986&gt. "Essays on markets over random networks and learning in Continuous Double Auctions." Doctoral thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5585.

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This dissertation studies the behaviour of traders under different market designs. The setup of a market contains the information available to traders, the decisions traders have to make and the trading mechanism. We have extended models to consider the effect of the market design. In markets over networks we have introduced randomness and derived bounds on the maximal efficiency given the network structure. Moreover, under strategic behaviour of traders, we derived a non-monotonic effect of the information about the network structure that is available on expected efficiency. This effect depen

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Granger, Nicolas. "Deep-learning for high dimensional sequential observations : application to continuous gesture recognition." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLL002/document.

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Cette thèse a pour but de contribuer à améliorer les interfaces Homme-machine. En particulier, nos appareils devraient répliquer notre capacité à traiter continûment des flux d'information. Cependant, le domaine de l’apprentissage statistique dédié à la reconnaissance de séries temporelles pose de multiples défis. Nos travaux utilisent la reconnaissance de gestes comme exemple applicatif, ces données offrent un mélange complexe de poses corporelles et de mouvements, encodées sous des modalités très variées. La première partie de notre travail compare deux modèles temporels de l’état de l’art p

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Granger, Nicolas. "Deep-learning for high dimensional sequential observations : application to continuous gesture recognition." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLL002.

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Cette thèse a pour but de contribuer à améliorer les interfaces Homme-machine. En particulier, nos appareils devraient répliquer notre capacité à traiter continûment des flux d'information. Cependant, le domaine de l’apprentissage statistique dédié à la reconnaissance de séries temporelles pose de multiples défis. Nos travaux utilisent la reconnaissance de gestes comme exemple applicatif, ces données offrent un mélange complexe de poses corporelles et de mouvements, encodées sous des modalités très variées. La première partie de notre travail compare deux modèles temporels de l’état de l’art p

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Yamamoto, Takahiro S. "New method of all-sky searches for continuous gravitational waves." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/264642.

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京都大学<br>新制・課程博士<br>博士(理学)<br>甲第23361号<br>理博第4732号<br>新制||理||1679(附属図書館)<br>京都大学大学院理学研究科物理学・宇宙物理学専攻<br>(主査)教授田中貴浩, 准教授久徳浩太郎, 教授萩野浩一<br>学位規則第4条第1項該当<br>Doctor of Science<br>Kyoto University<br>DFAM

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Imbrasaite, Vaiva. "Continuous dimensional emotion tracking in music." Thesis, University of Cambridge, 2015. https://www.repository.cam.ac.uk/handle/1810/247917.

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The size of easily-accessible libraries of digital music recordings is growing every day, and people need new and more intuitive ways of managing them, searching through them and discovering new music. Musical emotion is a method of classification that people use without thinking and it therefore could be used for enriching music libraries to make them more user-friendly, evaluating new pieces or even for discovering meaningful features for automatic composition. The field of Emotion in Music is not new: there has been a lot of work done in musicology, psychology, and other fields. However, au

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Fält, Markus. "Multi-factor Authentication : System proposal and analysis of continuous authentication methods." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39212.

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It is common knowledge that the average user has multiple online accounts which all require a password. Some studies have shown that the number password for the average user is around 25. Considering this, one can see that it is unreasonable to expect the average user to have 25 truly unique passwords. Because of this multi-factor authentication could potentially be used to reduce the number of passwords to remember while maintaining and possibly exceeding the security of unique passwords. This thesis therefore, aims to examine continuous authentication methods as well as proposing an authenti

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Elshamy, Wesam Samy. "Continuous-time infinite dynamic topic models." Diss., Kansas State University, 2012. http://hdl.handle.net/2097/15176.

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Doctor of Philosophy<br>Department of Computing and Information Sciences<br>William Henry Hsu<br>Topic models are probabilistic models for discovering topical themes in collections of documents. In real world applications, these models provide us with the means of organizing what would otherwise be unstructured collections. They can help us cluster a huge collection into different topics or find a subset of the collection that resembles the topical theme found in an article at hand. The first wave of topic models developed were able to discover the prevailing topics in a big collection of

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Alamoud, Muhammad Y. "Mobile Computing for Trauma and Surgical Care Continuous Education." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1367327340.

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Maginnis, Michael Abbot. "THE DEVELOPMENT OF A PREDICTIVE PROBABILITY MODEL FOR EFFECTIVE CONTINUOUS LEARNING AND IMPROVEMENT." UKnowledge, 2012. http://uknowledge.uky.edu/me_etds/2.

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It is important for organizations to understand the factors responsible for establishing sustainable continuous improvement (CI) capabilities. This study uses learning curves as the basis to examine learning obtained by team members doing work with and without the application of fundamental aspects of the Toyota Production System. The results are used to develop an effective model to guide organizational activities towards achieving the ability to continuous improve in a sustainable fashion. This research examines the effect of standardization and waste elimination activities supported by syst

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Abujabal, Abdalghani [Verfasser], and Gerhard [Akademischer Betreuer] Weikum. "Question answering over knowledge bases with continuous learning / Abdalghani Abujabal ; Betreuer: Gerhard Weikum." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019. http://d-nb.info/1187241059/34.

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Smith, Andrew James. "Dynamic generalisation of continuous action spaces in reinforcement learning : a neurally inspired approach." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/634.

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This thesis is about the dynamic generalisation of continuous action spaces in reinforcement learning problems. The standard Reinforcement Learning (RL) account provides a principled and comprehensive means of optimising a scalar reward signal in a Markov Decision Process. However, the theory itself does not directly address the imperative issue of generalisation which naturally arises as a consequence of large or continuous state and action spaces. A current thrust of research is aimed at fusing the generalisation capabilities of supervised (and unsupervised) learning techniques with the RL t

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Abujabal, Abdalghani Verfasser], and Gerhard [Akademischer Betreuer] [Weikum. "Question answering over knowledge bases with continuous learning / Abdalghani Abujabal ; Betreuer: Gerhard Weikum." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2019. http://d-nb.info/1187241059/34.

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