Preference Learning

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Preference Learning

Johannes Fürnkranz,Eyke Hüllermeier
Preference Learning Book PDF

Author : Johannes Fürnkranz,Eyke Hüllermeier
Publisher : Springer Science & Business Media
Page : 457 pages
File Size : 46,6 Mb
Release : 2010-11-19
Category : Computers
ISBN : 9783642141256

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Preference Learning by Johannes Fürnkranz,Eyke Hüllermeier Pdf

The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.

Encyclopedia of Machine Learning

Claude Sammut,Geoffrey I. Webb
Encyclopedia of Machine Learning Book PDF

Author : Claude Sammut,Geoffrey I. Webb
Publisher : Springer Science & Business Media
Page : 1061 pages
File Size : 48,9 Mb
Release : 2011-03-28
Category : Computers
ISBN : 9780387307688

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Encyclopedia of Machine Learning by Claude Sammut,Geoffrey I. Webb Pdf

This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

Information Processing and Biological Systems

Samuli Niiranen,Andre Ribeiro
Information Processing and Biological Systems Book PDF

Author : Samuli Niiranen,Andre Ribeiro
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 46,7 Mb
Release : 2011-03-10
Category : Technology & Engineering
ISBN : 9783642196218

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Information Processing and Biological Systems by Samuli Niiranen,Andre Ribeiro Pdf

Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.

Machine Learning: ECML 2004

Jean-Francois Boulicaut
Machine Learning ECML 2004 Book PDF

Author : Jean-Francois Boulicaut
Publisher : Springer Science & Business Media
Page : 597 pages
File Size : 55,8 Mb
Release : 2004-09-07
Category : Computers
ISBN : 9783540231059

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Machine Learning: ECML 2004 by Jean-Francois Boulicaut Pdf

This book constitutes the refereed proceedings of the 15th European Conference on Machine Learning, ECML 2004, held in Pisa, Italy, in September 2004, jointly with PKDD 2004. The 45 revised full papers and 6 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 280 papers submitted to ECML and 107 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

Odor Memory and Perception

Anonim
Odor Memory and Perception Book PDF

Author : Anonim
Publisher : Elsevier
Page : 371 pages
File Size : 47,8 Mb
Release : 2014-04-23
Category : Science
ISBN : 9780444633521

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Odor Memory and Perception by Anonim Pdf

This well-established international series examines major areas of basic and clinical research within neuroscience, as well as emerging and promising subfields. This volume explores interdisciplinary research on invertebrate and vertebrate models of odor memory and perception, as well as human odor memory and perception. This book brings together a collection of authors that cut across model systems, techniques, levels of analysis and questions to highlight important and exciting advances in the area of olfactory memory and perception. The chapters highlight the unique aspects of olfactory system anatomy, local circuit function, odor coding and plasticity. The authors are leading authorities in the field. Written by the leading researchers in the field of olfactory perception and memory Includes diverse models systems from invertebrates to humans Includes diverse technical approaches to the study of olfactory memory and perception Includes overview of the most recent research advances in this field

Modeling Decisions for Artificial Intelligence

Vicenc Torra,Torra Narukawa
Modeling Decisions for Artificial Intelligence Book PDF

Author : Vicenc Torra,Torra Narukawa
Publisher : Springer
Page : 243 pages
File Size : 50,8 Mb
Release : 2015-08-31
Category : Computers
ISBN : 9783319232409

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Modeling Decisions for Artificial Intelligence by Vicenc Torra,Torra Narukawa Pdf

This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.

e-Learning, e-Education, and Online Training

Guan Gui,Ying Li,Yun Lin
e Learning e Education and Online Training Book PDF

Author : Guan Gui,Ying Li,Yun Lin
Publisher : Springer Nature
Page : 487 pages
File Size : 54,9 Mb
Release : 2024-01-16
Category : Education
ISBN : 9783031514715

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e-Learning, e-Education, and Online Training by Guan Gui,Ying Li,Yun Lin Pdf

This four-volume set constitutes the post-conference proceedings of the 9th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2023, held in Yantai, China, during August 17-18, 2023. The 104 full papers presented were selected from 260 submissions. The papers reflect the evolving landscape of education in the digital age. They were organized in topical sections as follows: IT promoted teaching platforms and systems; AI based educational modes and methods; automatic educational resource processing; educational information evaluation.

Encyclopedia of the Sciences of Learning

Norbert M. Seel
Encyclopedia of the Sciences of Learning Book PDF

Author : Norbert M. Seel
Publisher : Springer Science & Business Media
Page : 3643 pages
File Size : 49,8 Mb
Release : 2011-10-05
Category : Education
ISBN : 9781441914279

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Encyclopedia of the Sciences of Learning by Norbert M. Seel Pdf

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.

Algorithmic Learning Theory

Jyriki Kivinen,Csaba Szepesvári,Esko Ukkonen,Thomas Zeugmann
Algorithmic Learning Theory Book PDF

Author : Jyriki Kivinen,Csaba Szepesvári,Esko Ukkonen,Thomas Zeugmann
Publisher : Springer
Page : 453 pages
File Size : 47,5 Mb
Release : 2011-10-07
Category : Computers
ISBN : 9783642244124

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Algorithmic Learning Theory by Jyriki Kivinen,Csaba Szepesvári,Esko Ukkonen,Thomas Zeugmann Pdf

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

Machine Learning and Knowledge Discovery in Databases

José L. Balcázar,Francesco Bonchi,Aristides Gionis,Michèle Sebag
Machine Learning and Knowledge Discovery in Databases Book PDF

Author : José L. Balcázar,Francesco Bonchi,Aristides Gionis,Michèle Sebag
Publisher : Springer
Page : 632 pages
File Size : 44,8 Mb
Release : 2010-08-18
Category : Computers
ISBN : 9783642159398

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Machine Learning and Knowledge Discovery in Databases by José L. Balcázar,Francesco Bonchi,Aristides Gionis,Michèle Sebag Pdf

Annotation. This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.

Machine Learning and Knowledge Discovery in Databases

Hendrik Blockeel,Kristian Kersting,Siegfried Nijssen,Filip Železný
Machine Learning and Knowledge Discovery in Databases Book PDF

Author : Hendrik Blockeel,Kristian Kersting,Siegfried Nijssen,Filip Železný
Publisher : Springer
Page : 732 pages
File Size : 50,9 Mb
Release : 2013-08-28
Category : Computers
ISBN : 9783642409912

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Machine Learning and Knowledge Discovery in Databases by Hendrik Blockeel,Kristian Kersting,Siegfried Nijssen,Filip Železný Pdf

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.

Preferences and Similarities

Giacomo Riccia,Didier Dubois,Hans-Joachim Lenz,Rudolf Kruse
Preferences and Similarities Book PDF

Author : Giacomo Riccia,Didier Dubois,Hans-Joachim Lenz,Rudolf Kruse
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 44,7 Mb
Release : 2009-06-23
Category : Computers
ISBN : 9783211854327

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Preferences and Similarities by Giacomo Riccia,Didier Dubois,Hans-Joachim Lenz,Rudolf Kruse Pdf

The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Psychology of Learning and Motivation

Anonim
Psychology of Learning and Motivation Book PDF

Author : Anonim
Publisher : Academic Press
Page : 296 pages
File Size : 40,8 Mb
Release : 1992-11-26
Category : Psychology
ISBN : 0080863795

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Psychology of Learning and Motivation by Anonim Pdf

The objective of the series has always been to provide a forum in which leading contributors to an area can write about significant bodies of research in which they are involved. The operating procedure has been to invite contributions from interesting, active investigators, and then allow them essentially free rein to present their perspectives on important research problems. The result of such invitations over the past two decades has been collections of papers which consist of thoughtful integrations providing an overview of a particular scientific problem. The series has an excellent tradition of high quality papers and is widely read by researchers incognitive and experimental psychology. The volume presents research ranging from classical and instrumental conditioning to complex learning and problem solving. Topics covered fall within a wide range of disciplines from neuroscience to artificial intelligence.

Artificial Neural Networks and Machine Learning – ICANN 2018

Věra Kůrková,Yannis Manolopoulos,Barbara Hammer,Lazaros Iliadis,Ilias Maglogiannis
Artificial Neural Networks and Machine Learning ICANN 2018 Book PDF

Author : Věra Kůrková,Yannis Manolopoulos,Barbara Hammer,Lazaros Iliadis,Ilias Maglogiannis
Publisher : Springer
Page : 824 pages
File Size : 43,7 Mb
Release : 2018-09-26
Category : Computers
ISBN : 9783030014186

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Artificial Neural Networks and Machine Learning – ICANN 2018 by Věra Kůrková,Yannis Manolopoulos,Barbara Hammer,Lazaros Iliadis,Ilias Maglogiannis Pdf

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Artificial Intelligence and Games

Georgios N. Yannakakis,Julian Togelius
Artificial Intelligence and Games Book PDF

Author : Georgios N. Yannakakis,Julian Togelius
Publisher : Springer
Page : 337 pages
File Size : 41,7 Mb
Release : 2018-02-17
Category : Computers
ISBN : 9783319635194

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Artificial Intelligence and Games by Georgios N. Yannakakis,Julian Togelius Pdf

This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.