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Dissertations / Theses on the topic 'Machine theory of collective intelligence'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Ekpe, Bassey. "Theories of collective intelligence and decision-making : towards a viable United Nations intelligence system." Thesis, University of Huddersfield, 2005. http://eprints.hud.ac.uk/id/eprint/7481/.

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The idea of a United Nations (UN) intelligence system is widely misunderstood and debates about it seem to be both misplaced and anecdotal. The lack of a consistent theory on intelligence has fostered the widely held view that such a system is not feasible or incompatible with the UN collective security system. This dissertation takes as its central thesis, the question, of whether an intelligence system is both desirable and feasible within the UN structure. In spite of the fact that no known study has so far engaged with the subject matter at the depth presented in this dissertation, the stu

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2

Carlucci, Lorenzo. "Some cognitively-motivated learning paradigms in Algorithmic Learning Theory." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 0.68 Mb., p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3220797.

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3

Gramer, Rachel. "A GENRE OF COLLECTIVE INTELLIGENCE: BLOGS AS INTERTEXTUAL, RECIPROCAL, AND PEDAGOGICAL." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2341.

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This thesis investigates the rhetorical features of blogs that lend them dialogic strength as an online genre through the lens of Mikhail Bakhtin's theories of speech genres, utterances, and dialogism. As a relatively new online genre, blogs stem from previous genres (in print and online as well as verbal), but their emergence as a popular form of expression in our current culture demands attention to how blogs also offer us different rhetorical opportunities to meet our changing social exigencies as online subjects in the 21st century. This thesis was inspired by questions about how blogs red

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4

Lu, Yibiao. "Statistical methods with application to machine learning and artificial intelligence." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44730.

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This thesis consists of four chapters. Chapter 1 focuses on theoretical results on high-order laplacian-based regularization in function estimation. We studied the iterated laplacian regularization in the context of supervised learning in order to achieve both nice theoretical properties (like thin-plate splines) and good performance over complex region (like soap film smoother). In Chapter 2, we propose an innovative static path-planning algorithm called m-A* within an environment full of obstacles. Theoretically we show that m-A* reduces the number of vertex. In the simulation study, our ap

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Riedel, Marion, and Tino Schwarze. "Machine Translation (MT) - History, Theory, Problems and Usage." Universitätsbibliothek Chemnitz, 2001. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200100437.

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6

Gulcehre, Caglar. "Two Approaches For Collective Learning With Language Games." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613109/index.pdf.

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Recent studies in cognitive science indicate that language has an important social function. The structure and knowledge of language emerges from the processes of human communication together with the domain-general cognitive processes. Each individual of a community interacts socially with a limited number of peers. Nevertheless societies are characterized by their stunning global regularities. By dealing with the language as a complex adaptive system, we are able to analyze how languages change and evolve over time. Multi-agent computational simulations assist scientists from different disci

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7

Shi, Bin. "A Mathematical Framework on Machine Learning: Theory and Application." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3876.

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The dissertation addresses the research topics of machine learning outlined below. We developed the theory about traditional first-order algorithms from convex opti- mization and provide new insights in nonconvex objective functions from machine learning. Based on the theory analysis, we designed and developed new algorithms to overcome the difficulty of nonconvex objective and to accelerate the speed to obtain the desired result. In this thesis, we answer the two questions: (1) How to design a step size for gradient descent with random initialization? (2) Can we accelerate the current convex

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8

Georgescu, Mihai [Verfasser]. "When in doubt ask the crowd : leveraging collective intelligence for improving event detection and machine learning / Mihai Georgescu." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2015. http://d-nb.info/107359663X/34.

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9

Ahlberg, Helgee Ernst. "Improving drug discovery decision making using machine learning and graph theory in QSAR modeling." Göteborg : Dept. of Chemistry, University of Gothenburg, 2010. http://gupea.ub.gu.se/dspace/handle/2077/21838.

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10

He, Fengxiang. "Theoretical Deep Learning." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25674.

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Deep learning has long been criticised as a black-box model for lacking sound theoretical explanation. During the PhD course, I explore and establish theoretical foundations for deep learning. In this thesis, I present my contributions positioned upon existing literature: (1) analysing the generalizability of the neural networks with residual connections via complexity and capacity-based hypothesis complexity measures; (2) modeling stochastic gradient descent (SGD) by stochastic differential equations (SDEs) and their dynamics, and further characterizing the generalizability of deep learning;

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11

Lucking, Walter. "The application of time encoded signals to automated machine condition classification using neural networks." Thesis, University of Hull, 1997. http://hydra.hull.ac.uk/resources/hull:3766.

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This thesis considers the classification of physical states in a simplified gearbox using acoustical data and simple time domain signal shape characterisation techniques allied to a basic feedforward multi-layer perceptron neural network. A novel extension to the signal coding scheme (TES), involving the application of energy based shape descriptors, was developed. This sought specifically to improve the techniques suitability to the identification of mechanical states and was evaluated against the more traditional minima based TES descriptors. The application of learning based identification

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12

Vivet-Maladry, Eline. "Contribution d'espaces de délibération à la démocratisation des entreprises : une analyse empirique des dispositifs d'intelligence collective massive." Electronic Thesis or Diss., université Paris-Saclay, 2024. https://www.biblio.univ-evry.fr/theses/2024/interne/2024UPASI011.pdf.

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La thèse se penche sur la question de la démocratisation des entreprises, renouant ainsi avec une problématique qui a été fréquemment abordée en gestion bien que relativement taboue aujourd'hui. Plus spécifiquement cependant, la recherche propose une analyse empirique sur la manière dont des technologies numériques adossées à des méthodologies inspirées des pratiques de participation citoyenne sont progressivement introduites dans la gestion de grandes entreprises multinationales. Le cadre théorique se concentre sur les intersections entre numérique, intelligence collective et démocratie dans

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13

Perrot, Michaël. "Theory and algorithms for learning metrics with controlled behaviour." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSES072/document.

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De nombreux algorithmes en Apprentissage Automatique utilisent une notion de distance ou de similarité entre les exemples pour résoudre divers problèmes tels que la classification, le partitionnement ou l'adaptation de domaine. En fonction des tâches considérées ces métriques devraient avoir des propriétés différentes mais les choisir manuellement peut-être fastidieux et difficile. Une solution naturelle est alors d'adapter automatiquement ces métriques à la tâche considérée. Il s'agit alors d'un problème connu sous le nom d'Apprentissage de Métriques et où le but est principalement de trouver

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Fontbonne, Nicolas. "Individual and group learning dynamics in evolutionary collective robotics." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS069.

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Avec leur prolifération dans l'industrie et la vie quotidienne, les robots sont désormais de plus en plus amenés à interagir entre eux. Cette thèse traite du problème de la coordination entre robots dans un contexte où ils doivent apprendre leur politique de contrôle de manière autonome. Ces politiques sont optimisées avec des algorithmes d'apprentissage automatique qui tirent parti d'une fonction de récompense pour augmenter progressivement les performances. La structure de cette fonction va influencer significativement la dynamique d'apprentissage et donc les comportements possibles des agen

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Leluc, Rémi. "Monte Carlo Methods and Stochastic Approximation : Theory and Applications to Machine Learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT007.

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Dans de nombreux domaines de recherche, que ce soit l'inférence variationnelle, l'inférence Bayésienne ou l'apprentissage par renforcement, le besoin d'un calcul précis et efficace d'intégrales et de paramètres minimisant des fonctions de risque apparaît, faisant des méthodes d'optimisation stochastiques et de Monte Carlo l'un des problèmes fondamentaux de la recherche en statistique et en apprentissage automatique. Cette thèse se concentre sur des méthodes d'intégration par Monte Carlo et d'optimisation stochastique, tant d'un point de vue théorique que pratique, où l'idée centrale est d'util

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Durand, Gentil Pascale. "Comment les managers de proximité développent- ils une capacité à mobiliser l'intelligence collective de leurs équipes ?" Electronic Thesis or Diss., Rennes 1, 2021. http://www.theses.fr/2021REN1G026.

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Pour gérer des situations incertaines et complexes, la collaboration est envisagée depuis une quinzaine d’années par les entreprises, comme le mode d’organisation du travail le plus adapté. Ainsi, un concept a émergé en Sciences de gestion : l’intelligence collective (Lévy, 2007a; Malone et al., 2010 ; Zaïbet, 2007). Pour réussir sa mise en œuvre, les managers de proximité, pourtant situés au plus près des dynamiques collectives des équipes, sont ignorés ou pointés du doigt (Getz, 2017 ; Laloux, 2014). Cette thèse offre une vision alternative du concept dans la-quelle, la mobilisation de l’int

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17

Pajany, Peroumal. "AI Transformative Influence: Extending the TRAM to Management Student's AI’s Machine Learning Adoption." Franklin University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=frank1623093426530669.

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18

Yu, Shen. "A Bayesian machine learning system for recognizing group behaviour." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:8881/R/?func=dbin-jump-full&object_id=32565.

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19

Middleton, Steven Anthony, and smi81431@bigpond net au. "A limited study of mechanical intelligence as media." RMIT University. Creative Media, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080717.161751.

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The project investigates mathematics, informatics, statistical analysis and their histories, the history of human engagement with machines, and illustrates some uses of artificial intelligence and robotic technologies as media. It is concerned with, amongst other issues, the sentient and not sentient binaries offered in discourses on machine intelligence. The term intelligence is used to distinguish between human and not human. However, a non-human, the intelligent machine, has become incorporated into the processes by which our culture defines intelligence. Those processes were explored

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Duminy, Willem H. "A learning framework for zero-knowledge game playing agents." Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-10172007-153836.

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21

Gu, Tianyu. "Shelang : An Implementation of Probabilistic Programming Language and its Applications." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26016.

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Nowadays, probabilistic models are playing a significant role in various areas in- cluding machine learning, artificial intelligence and cognitive science, etc. How- ever, as those models are becoming more and more complex, it shows that the corresponding programs are really hard to maintain and reuse as well. Meanwhile, the current tools are not feasible enough to enable probabilistic modeling and ma- chine learning to be accessible to the working programmer, who has sufficient do- main expertise, but perhaps not enough expertise in probability theory or machine learning. Probabilistic progra

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22

Victorino, Cardoso Gabriel. "Generative models for ECG data : theory and application." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX022.

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Cette thèse apporte des contributions au vaste domaine des modèles génératifs, avec un intérêt particulier pour l'application de tels modèles aux données d'électrocardiogramme (ECG) dans le cadre de l'inférence et de la quantification de l'incertitude.Dans une première partie, nous développons deux méthodes novatrices pour réduire le biais dans les méthodes d'échantillonnage d'importance et de Monte Carlo séquentiel (SMC), qui sont deux outils importants de l'inférence bayésienne. Les algorithmes résultants peuvent être considérés tous deux comme des "enveloppes" autour d'algorithmes existants

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Emele, Chukwuemeka David. "Informing dialogue strategy through argumentation-derived evidence." Thesis, University of Aberdeen, 2011. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=179453.

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In many settings, agents engage in problem-solving activities, which require them to share resources, act on each others behalf, coordinate individual acts, etc. If autonomous agents are to e ectively interact (or support interaction among humans) in situations such as deciding whom and how to approach the provision of a resource or the performance of an action, there are a number of important questions to address. Who do I choose to delegate a task to? What do I need to say to convince him/her to do something? Were similar requests granted from similar agents in similar circumstances? What ar

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Jiang, Guifei. "Logics for strategic reasoning and collective decision-making." Thesis, Toulouse 1, 2016. http://hdl.handle.net/1959.7/uws:37709.

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Strategic decision-making is ubiquitous in everyday life. The analysis of game strategies has been a research theme in game theory for several decades since von Neumann and Morgenstern. Sophisticated models and analysis tools have been developed with wide applications in Economics, Management Science, Social Science and Computer Science, especially in the field of Artificial Intelligence. However, \much of game theory is about the question whether strategic equilibria exist", as Johan van Benthem, a world-leading logician and game-theorist, points out, \but there are hardly any explicit langua

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Piquemal-Baluard, Christine. "L'explication collective dans une société d'agents : conception d'un agent explicatif pour l'environnement SYNERGIC." Toulouse 3, 1994. http://www.theses.fr/1994TOU30064.

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La problematique generale qui oriente notre travail concerne l'aptitude de groupes d'agents artificiels a expliquer leur comportement individuel et collectif. Cette recherche se situe au carrefour de l'intelligence artificielle distribuee et de la thematique explicative. Le propre d'un raisonnement effectue dans un systeme multi-agent est l'intervention de plusieurs agents autonomes et cooperatifs, qui participent, selon leur competence, a une activite collective finalisee. La construction des explications est fortement dependante des specificites du systeme (architecture, interaction, role et

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Gao, Xi. "Graph-based Regularization in Machine Learning: Discovering Driver Modules in Biological Networks." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3942.

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Curiosity of human nature drives us to explore the origins of what makes each of us different. From ancient legends and mythology, Mendel's law, Punnett square to modern genetic research, we carry on this old but eternal question. Thanks to technological revolution, today's scientists try to answer this question using easily measurable gene expression and other profiling data. However, the exploration can easily get lost in the data of growing volume, dimension, noise and complexity. This dissertation is aimed at developing new machine learning methods that take data from different classes as

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Banda, Brandon Mathewe. "General Game Playing as a Bandit-Arms Problem: A Multiagent Monte-Carlo Solution Exploiting Nash Equilibria." Oberlin College Honors Theses / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1559142912626158.

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Doran, Gary Brian Jr. "Multiple-Instance Learning from Distributions." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1417736923.

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Weninger, Timothy Edwards. "Link discovery in very large graphs by constructive induction using genetic programming." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1087.

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Berisha, Visar. "AI as a Threat to Democracy : Towards an Empirically Grounded Theory." Thesis, Uppsala universitet, Statsvetenskapliga institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-340733.

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Artificial intelligence has in recent years taken center stage in the technological development. Major corporations, operating in a variety of economic sectors, are investing heavily in AI in order to stay competitive in the years and decades to come. What differentiates this technology from traditional computing is that it can carry out tasks previously limited to humans. As such it contains the possibility to revolutionize every aspect of our society. Until now, social science has not given the proper attention that this emerging technological phenomena deserves, a phenomena which, according

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Hazarika, Subhashis. "Statistical and Machine Learning Approaches For Visualizing and Analyzing Large-Scale Simulation Data." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574692702479196.

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32

Streeter, Matthew J. "Automated discovery of numerical approximation formulae via genetic programming." Link to electronic thesis, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0426101-231555.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Title from title screen. Keywords: genetic programming; approximations; machine learning; artificial intelligence. Includes bibliographical references (p. 92-94).

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Crocker, Matthew Walter. "A principle-based system for natural language analysis and translation." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27863.

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Traditional views of grammatical theory hold that languages are characterised by sets of constructions. This approach entails the enumeration of all possible constructions for each language being described. Current theories of transformational generative grammar have established an alternative position. Specifically, Chomsky's Government-Binding theory proposes a system of principles which are common to human language. Such a theory is referred to as a "Universal Grammar"(UG). Associated with the principles of grammar are parameters of variation which account for the diversity of human languag

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Billings, Dr Donald G. "Disruptive Innovation Within the Legal Services Ecosystem." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7119.

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Most law firms have done little to address the opportunities and threats related to potentially disruptive technology (DT), such as artificial intelligence (AI) and machine learning (ML). The purpose of this multiple case study was to explore strategies that law firm leaders in the United States used to address the potentially detrimental influences of DT, such as AI and ML, on their organizations. The systems approach to management was employed as the conceptual framework. Data were collected from 6 participants at 2 international law firms with offices in California using semistructured inte

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Mbambe, Bebey Danielle. "Design d'expériences transmédia pour l'engagement en formation (DEEXTEF)." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1215/document.

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Nous décrivons le phénomène d’engagement à travers des expériences transmédia coconstruites avec les bénéficiaires dans le contexte de la formation pour adultes. Nous abordons ce terrain en faisant l’hypothèse qu’un transmédia à valeur expérientielle permet d’accroitre la participation des sujets pour consolider l’engagement en formation. Cette hypothèse ouvre la perspective d’une médiation de type transmédia capable, d’intégrer des objectifs d’exploitation scientifique de l’engagement et de valorisation de la participation et de l’attention qui pourraient être intéressants pour d’autres corpu

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Stephanos, Dembe. "Machine Learning Approaches to Dribble Hand-off Action Classification with SportVU NBA Player Coordinate Data." Digital Commons @ East Tennessee State University, 2021. https://dc.etsu.edu/etd/3908.

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Recently, strategies of National Basketball Association teams have evolved with the skillsets of players and the emergence of advanced analytics. One of the most effective actions in dynamic offensive strategies in basketball is the dribble hand-off (DHO). This thesis proposes an architecture for a classification pipeline for detecting DHOs in an accurate and automated manner. This pipeline consists of a combination of player tracking data and event labels, a rule set to identify candidate actions, manually reviewing game recordings to label the candidates, and embedding player trajectories in

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Machart, Pierre. "Coping with the Computational and Statistical Bipolar Nature of Machine Learning." Phd thesis, Aix-Marseille Université, 2012. http://tel.archives-ouvertes.fr/tel-00771718.

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L'Apprentissage Automatique tire ses racines d'un large champ disciplinaire qui inclut l'Intelligence Artificielle, la Reconnaissance de Formes, les Statistiques ou l'Optimisation. Dès les origines de l'Apprentissage, les questions computationelles et les propriétés en généralisation ont toutes deux été identifiées comme centrales pour la discipline. Tandis que les premières concernent les questions de calculabilité ou de complexité (sur un plan fondamental) ou d'efficacité computationelle (d'un point de vue plus pratique) des systèmes d'apprentissage, les secondes visent a comprendre et carac

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Jambeiro, Filho Jorge Eduardo de Schoucair. "Tratamento bayesiano de interações entre atributos de alta cardinalidade." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276204.

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Orientador: Jacques Wainer<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-09T21:11:41Z (GMT). No. of bitstreams: 1 JambeiroFilho_JorgeEduardodeSchoucair_D.pdf: 736285 bytes, checksum: b7d7f186f743f9b0e541c857b0ca8226 (MD5) Previous issue date: 2007<br>Resumo: Analisamos o uso de métodos Bayesianos em um problema de classificação de padrões de interesse prático para a Receita Federal do Brasil que é caracterizado pela presença de atributos de alta cardinalidade e pela existência de interações relevantes entre eles. Mostr

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Zantedeschi, Valentina. "A Unified View of Local Learning : Theory and Algorithms for Enhancing Linear Models." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSES055/document.

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Dans le domaine de l'apprentissage machine, les caractéristiques des données varient généralement dans l'espace des entrées : la distribution globale pourrait être multimodale et contenir des non-linéarités. Afin d'obtenir de bonnes performances, l'algorithme d'apprentissage devrait alors être capable de capturer et de s'adapter à ces changements. Même si les modèles linéaires ne parviennent pas à décrire des distributions complexes, ils sont réputés pour leur passage à l'échelle, en entraînement et en test, aux grands ensembles de données en termes de nombre d'exemples et de nombre de fonctio

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Lallée, Stéphane. "Towards a distributed, embodied and computational theory of cooperative interaction." Thesis, Lyon 1, 2012. http://www.theses.fr/2012LYO10052/document.

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Les robots vont peu à peu intégrer nos foyers sous la forme d’assistants et de compagnons,humanoïdes ou non. Afin de remplir leur rôle efficacement ils devront s’adapter àl’utilisateur, notamment en apprenant de celui-ci le savoir ou les capacités qui leur fontdéfaut. Dans ce but, leur manière d’interagir doit être naturelle et évoquer les mêmesmécanismes coopératifs que ceux présent chez l’homme. Au centre de ces mécanisme setrouve le concept d’action : qu’est-ce qu’une action, comment les humains les reconnaissent,comment les produire ou les décrire ? La modélisation de toutes ces fonctionna

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Jones, Joshua K. "Empirically-based self-diagnosis and repair of domain knowledge." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33931.

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In this work, I view incremental experiential learning in intelligent software agents as progressive agent self-adaptation. When an agent produces an incorrect behavior, then it may reflect on, and thus diagnose and repair, the reasoning and knowledge that produced the incorrect behavior. In particular, I focus on the self-diagnosis and self-repair of an agent's domain knowledge. The implementation of systems with the capability to self-diagnose and self-repair involves building both reasoning processes capable of such learning and knowledge representations capable of supporting those reaso

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Arruda, Rodrigo Lopes Setti de. "Uma arquitetura híbrida aplicada em problemas de aprendizagem por reforço." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259078.

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Orientador: Fernando José Von Zuben<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-20T00:09:41Z (GMT). No. of bitstreams: 1 Arruda_RodrigoLopesSettide_M.pdf: 2295891 bytes, checksum: 4f5f4bc8f219b0c3c27239520027d496 (MD5) Previous issue date: 2012<br>Resumo: Com o uso de sistemas cognitivos em uma crescente gama de aplicações, criou-se uma grande expectativa e elevada demanda por máquinas cada vez mais autônomas, inteligentes e criativas na solução de problemas reais. Em diversos casos, os

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Coursey, Kino High. "An Approach Towards Self-Supervised Classification Using Cyc." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5470/.

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Due to the long duration required to perform manual knowledge entry by human knowledge engineers it is desirable to find methods to automatically acquire knowledge about the world by accessing online information. In this work I examine using the Cyc ontology to guide the creation of Naïve Bayes classifiers to provide knowledge about items described in Wikipedia articles. Given an initial set of Wikipedia articles the system uses the ontology to create positive and negative training sets for the classifiers in each category. The order in which classifiers are generated and used to test articles

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Vurkaç, Mehmet. "Prestructuring Multilayer Perceptrons based on Information-Theoretic Modeling of a Partido-Alto-based Grammar for Afro-Brazilian Music: Enhanced Generalization and Principles of Parsimony, including an Investigation of Statistical Paradigms." PDXScholar, 2011. https://pdxscholar.library.pdx.edu/open_access_etds/384.

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The present study shows that prestructuring based on domain knowledge leads to statistically significant generalization-performance improvement in artificial neural networks (NNs) of the multilayer perceptron (MLP) type, specifically in the case of a noisy real-world problem with numerous interacting variables. The prestructuring of MLPs based on knowledge of the structure of a problem domain has previously been shown to improve generalization performance. However, the problem domains for those demonstrations suffered from significant shortcomings: 1) They were purely logical problems, and 2)

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Barraquand, Rémi. "Designing Sociable Technologies." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENM010/document.

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This thesis investigates the design of sociable technologies and is divided into three main parts described below. In the first part, we introduce sociable technologies. We review our the definition of technology and propose categories of technologies according to the motivation underlying their design: improvement of control, improvement of communication or improvement of cooperation. Sociable technologies are then presented as an extension of techniques to improve cooperation. The design of sociable technologies are then discussed leading to the observation that acquisition of social common

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Bertin, Clarice. "Driving factors for symbiotic collaborations between startups and large firms in open innovation ecosystems." Thesis, Strasbourg, 2020. https://publication-theses.unistra.fr/restreint/theses_doctorat/Bertin_Clarice_2020_ED221.pdf.

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La collaboration entre startups et grandes entreprises s’avère de plus en plus nécessaire dans le contexte actuel d’innovation ouverte, d’accélération de la demande du marché et donc de course de plus en plus rapide à l’innovation. Ces partenaires asymétriques présentent toutefois des différences notoires qui peuvent générer une distance entre eux, susceptible de mettre en péril le projet de collaboration. Au-delà de la dyade, d’autres acteurs de l’écosystème, en particulier les intermédiaires de l’innovation, participent également au projet de collaboration. L’objectif de cette thèse est de f

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Russo, Nicholas A. "DiSH: Democracy in State Houses." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1967.

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In our current political climate, state level legislators have become increasingly impor- tant. Due to cuts in funding and growing focus at the national level, public oversight for these legislators has drastically decreased. This makes it difficult for citizens and activists to understand the relationships and commonalities between legislators. This thesis provides three contributions to address this issue. First, we created a data set containing over 1200 features focused on a legislator’s activity on bills. Second, we created embeddings that represented a legislator’s level of activity and

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Martin, Cyrille. "Composition flexible par planification automatique." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00864000.

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Nous nous positionnons dans un contexte d'informatique ambiante dans lequel il arrive que les besoins de l'utilisateur n'aient pas été prévus, notamment en situation exceptionnelle. Dans ce cas, il peut ne pas exister de système préconçu qui réponde exactement à ces besoins. Pour les satisfaire, il faut alors pouvoir composer les systèmes disponibles dans l'environnement, et le système composé doit permettre à l'utilisateur de faire des choix à l'exécution. Ainsi, l'utilisateur a la possibilité d'adapter l'exécution de la composition à son contexte. Cela signifie que la composition intègre des

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Serafim, Eduardo Paz. "CollectMed: Extração e Reuso de Conhecimento Coletivo para o Registro Eletrônico em Saúde." Universidade Federal da Paraíba, 2011. http://tede.biblioteca.ufpb.br:8080/handle/tede/6045.

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Made available in DSpace on 2015-05-14T12:36:26Z (GMT). No. of bitstreams: 1 parte1.pdf: 1614982 bytes, checksum: 20a76dbb04a57c702c64e525119a04ec (MD5) Previous issue date: 2011-02-07<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Several technological advances during recent years provided that the Electronic Health Record systems (EHR) became a solidified and viable alternative to replace progres-sively and efficiently, the use of health records on paper. The benefits found are associated with the use of methods for clinical decision support (CDS), data availability, eas

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Salem, Tawfiq. "Learning to Map the Visual and Auditory World." UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/86.

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The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Billions of images that capture this complex relationship are uploaded to social-media websites every day and often are associated with precise time and location metadata. This rich source of data can be beneficial to improve our understanding of the globe. In this work, we propose a general framework that uses these publicly available images for constructing dense maps of different ground-level attributes from overhead imagery. In particular, we use well-defined probabil

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