Download or read book Probabilistic Graphical Models written by Daphne Koller and published by MIT Press. This book was released on 2009-07-31 with total page 1268 pages. Available in PDF, EPUB and Kindle. Book excerpt: A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
Download or read book Advances in Bayesian Networks written by José A. Gámez and published by Springer. This book was released on 2013-06-29 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.
Download or read book Machine Learning and Knowledge Discovery in Databases written by Hendrik Blockeel and published by Springer. This book was released on 2013-08-28 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Download or read book Cognitive Systems written by Chris Forsythe and published by Psychology Press. This book was released on 2006-08-15 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: The leading thinkers from the cognitive science tradition participated in a workshop sponsored by Sandia National Laboratories in July of 2003 to discuss progress in building their models. The goal was to summarize the theoretical and empirical bases for cognitive systems and to present exemplary developments in the field. Following the workshop, a great deal of planning went into the creation of this book. Eleven of the twenty-six presenters were asked to contribute chapters, and four chapters are the product of the breakout sessions in which critical topics were discussed among the participants. An introductory chapter provides the context for this compilation. Cognitive Systems thus presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome many of the problems inherent in current expert systems. It will be of interest to researchers and students in the fields of cognitive science, computational modeling, intelligent systems, artificial intelligence, and human-computer interaction.
Download or read book Rational Robust and Secure Negotiations in Multi Agent Systems written by Takayuki Ito and published by Springer. This book was released on 2008-03-21 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a completely comprehensive and yet accessible text, a variety of hugely accomplished contributors address all aspects of negotiation mechanisms in multi-agent systems. These include multi-issue negotiations, concurrent negotiations, and strategy-proof mechanisms, as well as rational argumentation and topics, auctions and voting. The workshop from which this volume has arisen brought together researchers from these communities to learn about each others’ approaches.
Download or read book Modeling Decisions for Artificial Intelligence written by Vicenç Torra and published by Springer. This book was released on 2014-10-23 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy.
Download or read book Decision Making and Imperfection written by Tatiana V Guy and published by Springer. This book was released on 2013-02-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: · how a crowd of imperfect decision makers outperforms experts' decisions; · how to decrease decision makers' imperfection by reducing knowledge available; · how to decrease imperfection via automated elicitation of DM preferences; · a human's limited willingness to master the available decision-support tools as an additional source of imperfection; · how the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications.
Download or read book Hypothesis Based Collaborative Filtering written by Amancio Bouza and published by Lulu.com. This book was released on 2012-04-16 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recommender systems have emerged to help individuals with finding interesting products. As a result, the consumer welfare enhances due to the increased product variety. In other words, recommender systems are essential for increasing consumers welfare, which ultimately leads to an increase of economic and social welfare.Typically, recommender systems use the collective wisdom of individuals for exposing individuals to products which best fits their preferences. More precisely, the most like-minded individuals are considered by the recommender system to provide individuals recommendations. This is commonly referred to as collaborative filtering.In this dissertation, we present hypothesis-based collaborative filtering (HCF) to expose individuals to products which best fits their preferences. HCF retrieves like-minded individuals based on the similarity of their hypothesized preferences by means of machine learning algorithms hypothesizing individuals' preferences.
Download or read book User Modeling Adaptation and Personalization written by Paul De Bra and published by Springer. This book was released on 2010-06-16 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Conference on User Modeling, Adaptation, and Personalization, held on Big Island, HI, USA, in June 2010. This annual conference was merged from the biennial conference series User Modeling, UM, and the conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH. The 26 long papers and 6 short papers presented together with 7 doctoral consortium papers, 2 invited talks, and 4 industry panel papers were carefully reviewed and selected from 161 submissions. The tutorials and workshops were organized in topical sections on intelligent techniques for web personalization and recommender systems; pervasive user modeling and personalization; user models for motivational systems; adaptive collaboration support; architectures and building blocks of web-based user adaptive systems; adaptation and personalization in e-b/learning using pedagogic conversational agents; and user modeling and adaptation for daily routines.
Download or read book Advances in Neural Networks ISNN 2010 written by Bao-Liang Lu and published by Springer Science & Business Media. This book was released on 2010-05-21 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its sister volume constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. The 170 revised full papers of Part I and Part II were carefully selected from 591 submissions and focus on topics such as Neurophysiological Foundation, Theory and Models, Learning and Inference, and Neurodynamics. The second volume, Part II (LNCS 6064) covers the following 5 topics: SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging, and applications.
Download or read book Multi Agent Systems for Society written by Dickson Lukose and published by Springer Science & Business Media. This book was released on 2009-07-14 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, held in Kuala Lumpur, Malaysia, in September 2005. The 29 revised full papers and 2 keynote papers presented were carefully reviewed and selected from numerous submissions. The papers address many current topics in multi-agent research and development, ranging from theoretical and methodological issues to various applications in different fields.
Download or read book Complex Automated Negotiations Theories Models and Software Competitions written by Takayuki Ito and published by Springer. This book was released on 2012-09-13 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex Automated Negotiations are a widely studied, emerging area in the field of Autonomous Agents and Multi-Agent Systems. In general, automated negotiations can be complex, since there are a lot of factors that characterize such negotiations. For this book, we solicited papers on all aspects of such complex automated negotiations, which are studied in the field of Autonomous Agents and Multi-Agent Systems. This book includes two parts, which are Part I: Agent-based Complex Automated Negotiations and Part II: Automated Negotiation Agents Competition. Each chapter in Part I is an extended version of ACAN 2011 papers after peer reviews by three PC members. Part II includes ANAC 2011 (The Second Automated Negotiating Agents Competition), in which automated agents who have different negotiation strategies and implemented by different developers are automatically negotiate in the several negotiation domains. ANAC is an international competition in which automated negotiation strategies, submitted by a number of universities and research institutes across the world, are evaluated in a tournament style. The purpose of the competition is to steer the research in the area of bilateral multi-issue, closed negotiation. This book includes rules, results, agents and domains descriptions for ANAC2011 submitted by organizers and finalists.
Download or read book Question Selection for Multi attribute Decision aiding written by Hillary A. Holloway and published by . This book was released on 2002 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the ACM Symposium on User Interface Software and Technology written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IJCAI written by and published by . This book was released on 2003 with total page 1712 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book IJCAI 03 written by International Joint Conferences on Artificial Intelligence and published by . This book was released on 2003 with total page 1710 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Twelfth Conference on Innovative Applications of Artificial Intelligence written by American Association for Artificial Intelligence and published by . This book was released on 2000 with total page 1230 pages. Available in PDF, EPUB and Kindle. Book excerpt: AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. Distributed for AAAI Press.
