Algorithmic Learning Theory, Yoav Freund; L?szl? Gy?rfi; Gy?rgy Tur?n; Thomas Z

Автор: Stefan Edelkamp
Название: Algorithmic Intelligence
ISBN: 3319655957 ISBN-13(EAN): 9783319655956
Издательство: Springer
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Цена: 30745.00 р.
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Описание: In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions. Part I of the book introduces the basics. The author starts with a hands-on programming primer for solving combinatorial problems, with an emphasis on recursive solutions. The other chapters in the first part of the book explain shortest paths, sorting, deep learning, and Monte Carlo search. A key function of computational tools is processing Big Data efficiently, and the chapters in Part II of the book examine traditional graph problems such as finding cliques, colorings, independent sets, vertex covers, and hitting sets, and the subsequent chapters cover multimedia, network, image, and navigation data. The highly topical research areas detailed in Part III are machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration. Finally, in Part IV the author uses application areas such as model checking, computational biology, logistics, additive manufacturing, robot motion planning, and industrial production to explain how the techniques described may be exploited in modern settings. The book is supported with a comprehensive index and references, and it will be of value to researchers, practitioners, and students in the areas of artificial intelligence and computational intelligence.

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: 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: Timos Sellis; Konstantinos Oikonomou
Название: Algorithmic Aspects of Cloud Computing
ISBN: 3319570447 ISBN-13(EAN): 9783319570440
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. transactional models and algorithms for cloud databases;

Автор: Ortner
Название: Algorithmic Learning Theory
ISBN: 3319463780 ISBN-13(EAN): 9783319463780
Издательство: Springer
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Цена: 8106.00 р.
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Описание: This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. statistical learning, theory, evolvability; exact and interactive learning;

Автор: Kamalika Chaudhuri; CLAUDIO GENTILE; Sandra Zilles
Название: Algorithmic Learning Theory
ISBN: 331924485X ISBN-13(EAN): 9783319244853
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015.