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Dissertations / Theses on the topic 'Bandlik'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Dunn, Jasmine D. "Grandpa Bandit." ScholarWorks@UNO, 2012. http://scholarworks.uno.edu/td/1586.

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Grandpa Bandit tells the story of elderly Virgil Wells, an upstanding citizen who is forced to partake in criminal activities in order to be able to provide for his ailing wife, Mary. As their funds decrease and their medicare is terminated, Virgil applies for work but is overlooked. His abilities are underestimated. He's viewed as a liability because of his age. When all attempts at making an honest living fails, Virgil decides that his only option is to rob a bank. Throughline: The common misconception that the elderly are incapable of working hard during their golden years often leaves thes

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2

Lecheval, Valentin. "On collective bandit behaviour." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-230982.

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The collective decision process of Gambusia affinis (the mosquitofish) is investigated from the standpoint of online machine learning algorithms. A new algorithm, the Collaborative Exp3 algorithm, is derived from the adversarial bandits framework to model how groups of fish make collective decisions leading to consensus. Thanks to maximum likelihood estimation, parameters are tuned and comparisons between data and algorithm performances are addressed. This work provides promising results in the scope of recovering information transfer within fish groups as well as to understand the individual

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3

Lewis, Alyn Martyn. "Multi-objective bandit problems." Thesis, Keele University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283977.

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4

Dunn, Ryan Thomas. "Bandit problems on parallel machines." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/26472.

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Glazebrook and Wilkinson (2000) exploited the primal-dual approach within achievable region methodology to investigate the classical multi-armed bandit problem on identical machines working in parallel. We follow this analysis by utilising and developing elements of the account, given by Bertsimas and Nino-Mora (1996), of the branching bandit model on a single machine cast in the achievable region framework, in order to extend Glazebrook and Wilkinson's work to more general models in the parallel machine environment. We obtain performance guarantees for a range of simple index based heuristic

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5

Thomas, C. D. "Bandit models and Blotto games." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1325637/.

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In this thesis we present a new take on two classic problems of game theory: the "multiarmed bandit" problem of dynamic learning, and the "Colonel Blotto" game, a multidi- mensional contest. In Chapters 2-4 we treat the questions of experimentation with congestion: how do players search and learn about options when they are competing for access with other players? We consider a bandit model in which two players choose between learning about the quality of a risky option (modelled as a Poisson process with unknown arrival rate), and competing for the use of a single shared safe option that can

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6

Cortes, Almir 1979. "O estilo interpretativo de Jacob do Bandolim." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/284747.

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Orientador: Esdras Rodrigues Silva<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Artes<br>Made available in DSpace on 2018-08-08T00:54:13Z (GMT). No. of bitstreams: 1 Cortes_Almir_M.pdf: 1799324 bytes, checksum: 992cde23c2d55676575d9410e007cc71 (MD5) Previous issue date: 2006<br>Resumo: Este trabalho visa descrever a contribuição de Jacob do Bandolim enquanto intérprete no choro, levantando as características peculiares de sua execução por meio dos seguintes procedimentos: uma reflexão acerca de declarações de Jacob, selecionadas principalmente do seu depoimento

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7

Dorard, L. R. M. "Bandit algorithms for searching large spaces." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1348319/.

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Bandit games consist of single-state environments in which an agent must sequentially choose actions to take, for which rewards are given. The objective being to maximise the cumulated reward, the agent naturally seeks to build a model of the relationship between actions and rewards. The agent must both choose uncertain actions in order to improve its model (exploration), and actions that are believed to yield high rewards according to the model (exploitation). The choice of an action to take is called a play of an arm of the bandit, and the total number of plays may or may not be known in adv

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8

Talebi, Mazraeh Shahi Mohammad Sadegh. "Online Combinatorial Optimization under Bandit Feedback." Licentiate thesis, KTH, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181321.

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Multi-Armed Bandits (MAB) constitute the most fundamental model for sequential decision making problems with an exploration vs. exploitation trade-off. In such problems, the decision maker selects an arm in each round and observes a realization of the corresponding unknown reward distribution. Each decision is based on past decisions and observed rewards. The objective is to maximize the expected cumulative reward over some time horizon by balancing exploitation (arms with higher observed rewards should be selectedoften) and exploration (all arms should be explored to learn their average rewar

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9

Liu, Fang. "Efficient Online Learning with Bandit Feedback." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587680990430268.

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10

Jedor, Matthieu. "Bandit algorithms for recommender system optimization." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASM027.

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Dans cette thèse de doctorat, nous étudions l'optimisation des systèmes de recommandation dans le but de fournir des suggestions de produits plus raffinées pour un utilisateur.La tâche est modélisée à l'aide du cadre des bandits multi-bras.Dans une première partie, nous abordons deux problèmes qui se posent fréquemment dans les systèmes de recommandation : le grand nombre d'éléments à traiter et la gestion des contenus sponsorisés.Dans une deuxième partie, nous étudions les performances empiriques des algorithmes de bandit et en particulier comment paramétrer les algorithmes traditionnels pour

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11

Casey, Graham. "The analysis of pressure vessel bandlock door closures." Thesis, University of Nottingham, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239932.

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12

Borgström, Rasmus, and Sara Lindgren. "Fildelare-en social bandit i vår tid." Thesis, Halmstad University, School of Social and Health Sciences (HOS), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-2404.

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<p>We examined why file sharing is such a widespread phenomenon and what drives the persons that using file sharing, and what consequences it has on their consuming and ownership. We reached our goal by interviewing ten people who download files, using a qualitative method. We present the internet community where sharing files, copyright and the IPRED law are important ingredients for how the new generation consumer’s patterns look like. Today you can travel all over the world with a push on a button in just a few seconds. Our result shows that the values have changed when it comes to consumpt

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13

Klein, Nicolas. "Learning and Experimentation in Strategic Bandit Problems." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-122728.

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14

Vaswani, Sharan. "Influence maximization in bandit and adaptive settings." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54688.

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The objective of viral marketing is to leverage a social network to spread awareness about a specific product in the market through information propagation via word-of-mouth. A closely related problem is that of influence maximization which aims to identify the `best' set of `influential' users (seeds) to give discounts or free products to, such that awareness about the product is maximized. We study two relatively unexplored variants of influence maximization (IM) in social networks. Conventional IM algorithms assume the structure of the social network and edge weights to be known. Though

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15

Greatrix, Simon Gregory John. "Indices for generalised forms of bandit problem." Thesis, University of Newcastle Upon Tyne, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.294699.

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16

Chou, Chia-Hsuan. "Gain Estimation using Multi-Armed Bandit Policies." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300451.

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This thesis investigates a new method to estimate the system norm using reinforcement learning. Given an unknown system, we aim to estimate its H∞- norm with a model-free approach, which involves solving a sequential input design problem. This problem is modeled as a multi-armed bandit, which provides us a way to study optimal decision making under uncertainty. In the multi-armed bandit framework, there are two different types of policies: index and Bayesian policies. The main goal of this thesis is to compare the performance of these two class of policies. We take Thompson Sampling representi

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17

Ferreira, Alexandre Silvestre. "A cross-domain multi-armed bandit hyper-heuristic." reponame:Repositório Institucional da UFPR, 2016. http://hdl.handle.net/1884/41803.

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Orientadora : Profª. Drª. Aurora Pozo<br>Co-orientador : Prof. Dr. Richard Aderbal Gonçalves<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 26/02/2016<br>Inclui referências : f. 64-70<br>Resumo: Muitos problemas de otimização do mundo real são complexos e possuem muitas variáveis e restrições. Por esta causa, o uso de meta-heurísticas tornou-se a principal maneira de resolver problemas com essas características. Uma das principais desvantagens do uso de meta-heurísticas e que são geralmente desen

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18

Zhong, Hongliang. "Bandit feedback in Classification and Multi-objective Optimization." Thesis, Ecole centrale de Marseille, 2016. http://www.theses.fr/2016ECDM0004/document.

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Des problèmes de Bandit constituent une séquence d’allocation dynamique. D’une part, l’agent de système doit explorer son environnement ( à savoir des bras de machine) pour recueillir des informations; d’autre part, il doit exploiter les informations collectées pour augmenter la récompense. Comment d’équilibrer adéquatement la phase d’exploration et la phase d’exploitation, c’est une obscurité des problèmes de Bandit, et la plupart des chercheurs se concentrent des efforts sur les stratégies d’équilibration entre l’exploration et l’exploitation. Dans cette dissertation, nous nous concentrons s

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19

Louëdec, Jonathan. "Stratégies de bandit pour les systèmes de recommandation." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30257/document.

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Les systèmes de recommandation actuels ont besoin de recommander des objets pertinents aux utilisateurs (exploitation), mais pour cela ils doivent pouvoir également obtenir continuellement de nouvelles informations sur les objets et les utilisateurs encore peu connus (exploration). Il s'agit du dilemme exploration/exploitation. Un tel environnement s'inscrit dans le cadre de ce que l'on appelle " apprentissage par renforcement ". Dans la littérature statistique, les stratégies de bandit sont connues pour offrir des solutions à ce dilemme. Les contributions de cette thèse multidisciplinaire ada

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20

Sakhi, Otmane. "Offline Contextual Bandit : Theory and Large Scale Applications." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG011.

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Cette thèse s'intéresse au problème de l'apprentissage à partir d'interactions en utilisant le cadre du bandit contextuel hors ligne. En particulier, nous nous intéressons à deux sujets connexes : (1) l'apprentissage de politiques hors ligne avec des certificats de performance, et (2) l'apprentissage rapide et efficace de politiques, pour le problème de recommandation à grande échelle. Pour (1), nous tirons d'abord parti des résultats du cadre d'optimisation distributionnellement robuste pour construire des bornes asymptotiques, sensibles à la variance, qui permettent l'évaluation des performa

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21

Crosbie, James. "Novel approaches to the analysis of generalised bandit problems." Thesis, University of Newcastle Upon Tyne, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363875.

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22

Song, Xiang Ph D. Massachusetts Institute of Technology. "A Bayesian bandit approach to personalized online coupon recommendations." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/103204.

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Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 37-38).<br>A digital coupon distributing firm selects coupons from its coupon pool and posts them online for its customers to activate them. Its objective is to maximize the total number of clicks that activate the coupons by sequential arriving customers. This paper resolves this problem by using a multi-armed bandit approach to balance the exploration (learning customers' preference for coupons) wi

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23

Wang, Zi Ph D. Massachusetts Institute of Technology. "Optimization as estimation with Gaussian processes in bandit settings." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/103668.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 77-80).<br>Optimizing an expensive unknown function is an important problem addressed by Bayesian optimization. Motivated by the challenge of parameter tuning in both machine learning and robotic planning problems, we study the

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24

Besson, Lilian. "Multi-Players Bandit Algorithms for Internet of Things Networks." Thesis, CentraleSupélec, 2019. http://www.theses.fr/2019CSUP0005.

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Dans cette thèse de doctorat, nous étudions les réseaux sans fil et les appareils reconfigurables qui peuvent accéder à des réseaux de type radio intelligente, dans des bandes non licenciées et sans supervision centrale. Nous considérons notamment des réseaux actuels ou futurs de l’Internet des Objets (IoT), avec l’objectif d’augmenter la durée de vie de la batterie des appareils, en les équipant d’algorithmes d’apprentissage machine peu coûteux mais efficaces, qui leur permettent d’améliorer automatiquement l’efficacité de leurs communications sans fil. Nous proposons deux modèles de réseaux

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25

Anderson, Christopher Madden Camerer Colin. "Behavioral models of strategies in multi-armed bandit problems /." Diss., Pasadena, Calif. : California Institute of Technology, 2001. http://resolver.caltech.edu/CaltechETD:etd-09142005-160157.

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26

Durrant, J. C. "The design and analysis of pressure vessels using the finite element method." Thesis, University of Nottingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368008.

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27

FIGUEIREDO, Marina Bezerra. "Biologia reprodutiva da albacora Bandolim (Thunnus Obesus) no oceano Atlântico Oeste Tropical." Universidade Federal Rural de Pernambuco, 2007. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/6400.

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Submitted by (edna.saturno@ufrpe.br) on 2017-02-16T14:56:11Z No. of bitstreams: 1 Marina Bezerra Figueiredo.pdf: 4281028 bytes, checksum: 769a66f89e02f5c1359899b741605fea (MD5)<br>Made available in DSpace on 2017-02-16T14:56:11Z (GMT). No. of bitstreams: 1 Marina Bezerra Figueiredo.pdf: 4281028 bytes, checksum: 769a66f89e02f5c1359899b741605fea (MD5) Previous issue date: 2007-02-23<br>Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq<br>The study presents information about the reproductive characterísticas of bigeye tuna (Thunnus Obesus0. Were obtained 1082

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BATISTA, Carlos Hudson de Oliveira. "Pesca e ecologia da albacora bandolim (Thunnus obesus) no oceano atlântico tropical." Universidade Federal Rural de Pernambuco, 2016. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/7074.

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Submitted by Mario BC (mario@bc.ufrpe.br) on 2017-10-09T13:09:30Z No. of bitstreams: 1 Carlos Hudson de Oliveira Batista.pdf: 4761853 bytes, checksum: 7199ff33ed42f293caae4f97d471677f (MD5)<br>Made available in DSpace on 2017-10-09T13:09:30Z (GMT). No. of bitstreams: 1 Carlos Hudson de Oliveira Batista.pdf: 4761853 bytes, checksum: 7199ff33ed42f293caae4f97d471677f (MD5) Previous issue date: 2016-02-26<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Bigeye is currently considered the most valuable target species of tuna longline fisheries in the Atlantic Ocean. Thus,

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29

Wang, Kehao. "Multi-channel opportunistic access : a restless multi-armed bandit perspective." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00832569.

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In the thesis, we address the fundamental problem of opportunistic spectrum access in a multi-channel communication system. Specifically, we consider a communication system in which a user has access to multiple channels, but is limited to sensing and transmitting only on one at a given time. We explore how the smart user should exploit past observations and the knowledge of the stochastic properties of these channels to maximize its transmission rate by switching channels opportunistically. Formally, we provide a generic analysis on the opportunistic spectrum access problem by casting the pro

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30

Ménard, Pierre. "Sur la notion d'optimalité dans les problèmes de bandit stochastique." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30087/document.

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Cette thèse s'inscrit dans les domaines de l'apprentissage statistique et de la statistique séquentielle. Le cadre principal est celui des problèmes de bandit stochastique à plusieurs bras. Dans une première partie, on commence par revisiter les bornes inférieures sur le regret. On obtient ainsi des bornes non-asymptotiques dépendantes de la distribution que l'on prouve de manière très simple en se limitant à quelques propriétés bien connues de la divergence de Kullback-Leibler. Puis, on propose des algorithmes pour la minimisation du regret dans les problèmes de bandit stochastique paramétriq

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31

Deffayet, Romain. "Bandit Algorithms for Adaptive Modulation and Coding in Wireless Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281884.

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The demand for quality cellular network coverage has been increasing significantly in the recent years and will continue its progression throughout the near future. This results from an increase of transmitted data, because of new use cases (HD videos, live streaming, online games, ...), but also from a diversification of the traffic, notably because of shorter and more frequent transmissions which can be due to IOT devices or other telemetry applications. The cellular networks are becoming increasingly complex, and the need for better management of the network’s properties is higher than ever

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32

Lomax, S. E. "Cost-sensitive decision tree learning using a multi-armed bandit framework." Thesis, University of Salford, 2013. http://usir.salford.ac.uk/29308/.

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Decision tree learning is one of the main methods of learning from data. It has been applied to a variety of different domains over the past three decades. In the real world, accuracy is not enough; there are costs involved, those of obtaining the data and those when classification errors occur. A comprehensive survey of cost-sensitive decision tree learning has identified over 50 algorithms, developing a taxonomy in order to classify the algorithms by the way in which cost has been incorporated, and a recent comparison shows that many cost-sensitive algorithms can process balanced, two class

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Luppi, Barbara. "The consequences of behavioural bias : bandit problems and product liability law." Thesis, London School of Economics and Political Science (University of London), 2010. http://etheses.lse.ac.uk/2373/.

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The aim of the thesis is to explore how certain behavioural biases affect decision making. It focuses on two contexts, bandit problems and the case of legal decision making. In regard to bandit problems, the focus of interest is to examine the role of risk aversion and loss aversion, which are both excluded from the standard literature on bandit problems. We consider the standard bandit problem under alternative models of behaviour, from the standard expected utility model with risk neutral agents, to models with risk aversion, with loss aversion, and with risk and loss aversion. In Chapter 2

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Degenne, Rémy. "Impact of structure on the design and analysis of bandit algorithms." Thesis, Université de Paris (2019-....), 2019. http://www.theses.fr/2019UNIP7179.

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Cette thèse porte sur des problèmes d'apprentissage statistique séquentiel, dits bandits stochastiques à plusieurs bras. Dans un premier temps un algorithme de bandit est présenté. L'analyse de cet algorithme, comme la majorité des preuves usuelles de bornes de regret pour algorithmes de bandits, utilise des intervalles de confiance pour les moyennes des bras. Dans un cadre paramétrique,on prouve des inégalités de concentration quantifiant la déviation entre le paramètre d'une distribution et son estimation empirique, afin d'obtenir de tels intervalles. Ces inégalités sont exprimées en fonctio

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Godbout, Mathieu. "Approches par bandit pour la génération automatique de résumés de textes." Master's thesis, Université Laval, 2021. http://hdl.handle.net/20.500.11794/69488.

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Ce mémoire aborde l'utilisation des méthodes par bandit pour résoudre la problématique de l'entraînement de modèles de générations de résumés extractifs. Les modèles extractifs, qui bâtissent des résumés en sélectionnant des phrases d'un document original, sont difficiles à entraîner car le résumé cible correspondant à un document n'est habituellement pas constitué de manière extractive. C'est à cet effet que l'on propose de voir la production de résumés extractifs comme différents problèmes de bandit, lesquels sont accompagnés d'algorithmes pouvant être utilisés pour l'entraînement. On commen

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Föh, Bandik [Verfasser]. "Carboxypeptidase E moduliert die immunologische Homöostase des Darms und hat protektive Effekte im Rahmen einer experimentellen Colitis / Bandik Föh." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2018. http://d-nb.info/1169355137/34.

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Chan, Heng Kong Humanities &amp Social Sciences Australian Defence Force Academy UNSW. "PAP Singapore: a case study of stationary bandit in a market economy." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Humanities and Social Sciences, 2005. http://handle.unsw.edu.au/1959.4/38649.

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This study investigates the role of the state in Singapore???s political economy. The conventional methodology in the neoclassical economics tradition is essentially apolitical and is thus inadequate to appraise the inner working mechanism of the Singapore polity, given the pervasive influence of politics in policy decisions. This study therefore synthesizes a new analytical methodology, drawn from neo-institutionalism, to analyse the interrelations of state, market and social institutions in the Singapore of the People???s Action Party (PAP). Ronald Coase???s theorem of transaction costs, Ste

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Nicol, Olivier. "Data-driven evaluation of contextual bandit algorithms and applications to dynamic recommendation." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10211/document.

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Ce travail de thèse a été réalisé dans le contexte de la recommandation dynamique. La recommandation est l'action de fournir du contenu personnalisé à un utilisateur utilisant une application, dans le but d'améliorer son utilisation e.g. la recommandation d'un produit sur un site marchant ou d'un article sur un blog. La recommandation est considérée comme dynamique lorsque le contenu à recommander ou encore les goûts des utilisateurs évoluent rapidement e.g. la recommandation d'actualités. Beaucoup d'applications auxquelles nous nous intéressons génèrent d'énormes quantités de données grâce à

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Liu, Sige. "Bandit Learning Enabled Task Offloading and Resource Allocation in Mobile Edge Computing." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29719.

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The Internet-of-Things (IoT) is envisioned as a promising paradigm for carrying the interconnections of massive devices through various communications protocols. With the rapid development of fifth-generation (5G), IoT has incentivized a large number of new computation-intensive applications and bridges diverse technologies to provide ubiquitous services with intelligence. However, with billions of devices anticipated to be connected in IoT systems in the coming years, IoT devices face a series of challenges from their inherent features. For instance, the IoT devices are usually densely depl

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CELLA, LEONARDO. "EFFICIENCY AND REALISM IN STOCHASTIC BANDITS." Doctoral thesis, Università degli Studi di Milano, 2021. http://hdl.handle.net/2434/807862.

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This manuscript is dedicated to the analysis of the application of stochastic bandits to the recommender systems domain. Here a learning agent sequentially recommends one item from a catalog of available alternatives. Consequently, the environment returns a reward that is a noisy observation of the rating associated to the suggested item. The peculiarity of the bandit setting is that no information is given about not recommended products, and the collected rewards are the only information available to the learning agent. By relying on them the learner adapts his strategy towards reaching its l

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Eriksson, Simon. "Sitter "soundet" i banden? : en undersökning om bandad- och bandlös elbas i live- och studiosammanhang." Thesis, Kungl. Musikhögskolan, Institutionen för musik, pedagogik och samhälle, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kmh:diva-2610.

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Syftet med denna studie är att få en fördjupad kunskap om skillnader och likheter mellan bandad- och bandlös elbas. I studien undersöks användningsområden och även musikaliska uttryck. Metoder i undersökningen var intervju, transkribering och inspelning där en undersökning i arrangemang, musikaliskt uttryck och roll i ensemble sker. Studien genomfördes i tre delar: en intervjudel där fyra aktiva basister intervjuades. En del där jag transkriberade en basstämma som ledde till den sista delen med två inspelningar där jag spelar elbas. Det transkriberade och inspelade materialet är basstämman i P

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NÓBREGA, César Calzavara da. "Fatores interferentes na qualidade da albacora bandolim (Thunnus obesus), capturados no Oceano Atlântico Oeste Tropical." Universidade Federal Rural de Pernambuco, 2010. http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/6254.

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Submitted by (edna.saturno@ufrpe.br) on 2017-02-09T12:26:22Z No. of bitstreams: 1 Cesar Calzavara da Nobrega.pdf: 415393 bytes, checksum: db5c9d74b18ae233d83588a5ae11360c (MD5)<br>Made available in DSpace on 2017-02-09T12:26:22Z (GMT). No. of bitstreams: 1 Cesar Calzavara da Nobrega.pdf: 415393 bytes, checksum: db5c9d74b18ae233d83588a5ae11360c (MD5) Previous issue date: 2010-12-06<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>The fish known as tuna are highly valued in oriental cuisine, the Bigeye tuna (Thunnus obesus) one of the most important species commercia

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May, Benedict C. "Bayesian sampling in contextual-bandit problems with extensions to unknown normal-form games." Thesis, University of Bristol, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627937.

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In sequential decision problems in unknown environments, decision makers often face dilemmas over whether to explore to discover more about the environment, or to exploit current knowledge. In this thesis, we address this exploration/exploitation dilemma in a general setting encompassing both standard and contextualised bandit problems, and also multi-agent (game-theoretic) problems. We consider an approach of Thompson (1933) which makes use of samples from the posterior distributions for the instantaneous value of each action. Our initial focus is on problems with a single decision maker acti

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Tracà, Stefano. "Regulating exploration in multi-armed bandit problems with time patterns and dying arms." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119353.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 65-70).<br>In retail, there are predictable yet dramatic time-dependent patterns in customer behavior, such as periodic changes in the number of visitors, or increases in customers just before major holidays. The standard paradigm of multi-armed bandit analysis does not take these known patterns into account. This means that for applications in retail, where prices are fixed for periods of tim

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Ju, Weiyu. "Mobile Deep Neural Network Inference in Edge Computing with Resource Restrictions." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25038.

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Recent advances in deep neural networks (DNNs) have substantially improved the accuracy of intelligent applications. However, the pursuit of a higher accuracy has led to an increase in the complexity of DNNs, which inevitably increases the inference latency. For many time-sensitive mobile inferences, such a delay is intolerable and could be fatal in many real-world applications. To solve this problem, one effective scheme known as DNN partition is proposed, which significantly improves the inference latency by partitioning the DNN to a mobile device and an edge server to jointly process the in

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Lima, Rezende Gabriel Sampaio Souza 1981. "O problema da tradição na trajetória de Jacob do Bandolim : comentários à história oficial do choro." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/285269.

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Orientadores: José Roberto Zan, Mário Vieira de Carvalho<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Artes<br>Made available in DSpace on 2018-08-25T21:23:05Z (GMT). No. of bitstreams: 1 LimaRezende_GabrielSampaioSouza_D.pdf: 26091609 bytes, checksum: d8488439c409cacf219ceba526d199b9 (MD5) Previous issue date: 2014<br>Resumo: O título dado a este trabalho cria uma correspondência entre "o problema da tradição na trajetória de Jacob do Bandolim" e "comentários à história oficial do choro". Essa correspondência se desdobra em duas dimensões principais. A primeira diz

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Kuntz, William George. "A translation of Victor Kolupaev's "The bandit over the world" with a critical essay." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1985. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.A.)--Kutztown University, 1985.<br>Source: Masters Abstracts International, Volume: 45-06, page: 2853. Typescript. Translation of: Tolsti︠a︡k nad mirom. Includes bibliographical references (leaves [133]-137).

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Nakhe, Paresh [Verfasser], Martin [Gutachter] Hoefer, and Georg [Gutachter] Schnitger. "On bandit learning and pricing in markets / Paresh Nakhe ; Gutachter: Martin Hoefer, Georg Schnitger." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2018. http://d-nb.info/1167856740/34.

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Bandolik, Jan Josef [Verfasser], Matthias [Gutachter] Kassack, and Tanja [Gutachter] Fehm. "Entwicklung neuartiger Targeted Therapy-Strategien zur Behandlung des chemotherapieresistenten Ovarialkarzinoms unter besonderer Berücksichtigung von Histondeacetylase-Inhibitoren / Jan Josef Bandolik ; Gutachter: Matthias Kassack, Tanja Fehm." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2021. http://d-nb.info/1237105048/34.

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Bandlow-Raffalski, Steffen [Verfasser], Markus [Akademischer Betreuer] Tepe, Eric [Akademischer Betreuer] Linhart, and Torsten [Akademischer Betreuer] Selck. "Compulsory voting: turnout, information acquisition and information processing / Steffen Bandlow-Raffalski ; Markus Tepe, Eric Linhart, Torsten Selck." Oldenburg : BIS der Universität Oldenburg, 2018. http://d-nb.info/1166314006/34.

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