Self-Organizing Systems, Thrasyvoulos Spyropoulos; Karin Anna Hummel

Автор: Pablo A. Est?vez; Jos? C. Pr?ncipe; Pablo Zegers
Название: Advances in Self-Organizing Maps
ISBN: 3642352294 ISBN-13(EAN): 9783642352294
Издательство: Springer
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Цена: 186330.00 T
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Описание: Many SOM applications have been developed in engineering and science, and other fields.This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012.

Автор: Agarwal
Название: Statistical Methods for Recommender Systems
ISBN: 1107036070 ISBN-13(EAN): 9781107036079
Издательство: Cambridge Academ
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Цена: 50680.00 T
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Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.

Автор: Karin Anna Hummel; James P. G. Sterbenz
Название: Self-Organizing Systems
ISBN: 3540921567 ISBN-13(EAN): 9783540921561
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book constitutes the refereed proceedings of the Third International Workshop on Self-Organizing Systems, IWSOS 2008, held in Vienna, Austria, December 10-12, 2008. The 20 revised full papers and 13 revised short papers presented were carefully selected from the 70 full and 24 short paper submissions from authors from 33 different countries.

Автор: Godfrey C Onwubolu
Название: Hybrid Self-Organizing Modeling Systems
ISBN: 3642101828 ISBN-13(EAN): 9783642101823
Издательство: Springer
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Цена: 156720.00 T
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Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.

Автор: Johannes F. Knabe
Название: Computational Genetic Regulatory Networks: Evolvable, Self-organizing Systems
ISBN: 3642448054 ISBN-13(EAN): 9783642448058
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book examines the evolvability and robustness of an evolutionary GRN paradigm, in simple differentiated multicellularity and in evolving artificial `organisms` which grow and express an ontogeny from a single cell to a changing neighborhood of cells.

Автор: Mikhail Prokopenko
Название: Advances in Applied Self-Organizing Systems
ISBN: 1447151127 ISBN-13(EAN): 9781447151128
Издательство: Springer
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Цена: 93160.00 T
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Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.

Автор: Satoshi Murata; Haruhisa Kurokawa
Название: Self-Organizing Robots
ISBN: 4431547320 ISBN-13(EAN): 9784431547327
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book examines the feasibility of creating self-organizing robots, particularly at the molecular level, within current mechanical engineering limitations. It covers relevant topics such as design philosophy and self-organization in biological systems.

Автор: Donald Davendra; Ivan Zelinka
Название: Self-Organizing Migrating Algorithm
ISBN: 3319281593 ISBN-13(EAN): 9783319281599
Издательство: Springer
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Цена: 130610.00 T
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Описание: This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.

Автор: Udo Seiffert
Название: Self-Organizing Neural Networks
ISBN: 3662003430 ISBN-13(EAN): 9783662003435
Издательство: Springer
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Цена: 81050.00 T
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Автор: Godfrey C Onwubolu
Название: Hybrid Self-Organizing Modeling Systems
ISBN: 3642015298 ISBN-13(EAN): 9783642015298
Издательство: Springer
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Цена: 174150.00 T
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Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book presents hybrids of some computational intelligence techniques and GMDH approach. It includes the description of GAME (Group Adaptive Models Evolution) algorithm.

Автор: Mikhail Prokopenko
Название: Advances in Applied Self-Organizing Systems
ISBN: 1447158997 ISBN-13(EAN): 9781447158998
Издательство: Springer
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Цена: 121110.00 T
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Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.

Автор: J.C. Principe; Risto Miikkulainen
Название: Advances in Self-Organizing Maps
ISBN: 3642023967 ISBN-13(EAN): 9783642023965
Издательство: Springer
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Цена: 69870.00 T
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Описание: 7th International Workshop WSOM 2009 St Augustine Florida June 810 2009 Proceedings. .