Algorithmic Learning Theory, Ortner

Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 1461417074 ISBN-13(EAN): 9781461417071
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.

Автор: Clarke
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 0387981349 ISBN-13(EAN): 9780387981345
Издательство: Springer
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Цена: 27950.00 р.
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Описание: Extensive treatment of the most up-to-date topicsProvides the theory and concepts behind popular and emerging methodsRange of topics drawn from Statistics, Computer Science, and Electrical Engineering

Автор: Ricard Gavalda; Gabor Lugosi; Thomas Zeugmann; San
Название: Algorithmic Learning Theory
ISBN: 3642044131 ISBN-13(EAN): 9783642044137
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

Автор: Srinivas Akella; Nancy M. Amato; Wesley Huang; Bud
Название: Algorithmic Foundation of Robotics VII
ISBN: 3642087981 ISBN-13(EAN): 9783642087981
Издательство: Springer
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Цена: 36570.00 р.
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Описание: This book is comprised of thirty-two papers presented at the prestigious 2006 Workshop on the Algorithmic Foundations of Robotics. The papers span a wide variety of topics all related to the algorithmic problems of robotic systems.

Автор: Dondi
Название: Algorithmic Aspects in Information and Management
ISBN: 3319411675 ISBN-13(EAN): 9783319411675
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This volume constitutes the proceedings of the 11th International Conference on Algorithmic Aspects in Information and Management, AAIM 2016, held in Bergamo, Italy, in July 2016. The 18 revised full papers presented were carefully reviewed and selected from 41 submissions.

Автор: Murty M. Narasimha, Devi Der V. Susheela
Название: Pattern Recognition: An Algorithmic Approach
ISBN: 9814335452 ISBN-13(EAN): 9789814335454
Издательство: World Scientific Publishing
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Цена: 19800.00 р.
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Описание: Adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. This book deals with topics such as: pattern representation, nearest neighour based classifiers, neural networks, support vector machines, and decision trees.

Автор: David Hsu; Volkan Isler; Jean-Claude Latombe; Ming
Название: Algorithmic Foundations of Robotics IX
ISBN: 3642423825 ISBN-13(EAN): 9783642423826
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This book contains the proceedings of the 9th WAFR, held on December 13-15, 2010 at the National University of Singapore. The 24 papers included in this book span a wide variety of topics from new theoretical insights to novel applications.

Автор: Anna Esposito; Amir Hussain; Maria Marinaro; Raffa
Название: Multimodal Signals: Cognitive and Algorithmic Issues
ISBN: 3642005241 ISBN-13(EAN): 9783642005244
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes refereed post-conference proceedings of the COST Action 2102 and euCognition supported international school on Multimodal Signals: `Cognitive and Algorithmic Issues` held in Vietri sul Mare, Italy, in April 2008. This book presents papers that are selected from participants` contributions and invited lectures given at the workshop.