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Kernel Methods and Machine Learning by S.Y. Kung (English) Hardcover Book

Kernel Methods and Machine Learning by S.Y. Kung (English) Hardcover Book
$183.13

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Kernel Methods and Machine Learning by S.Y. Kung

Estimated delivery 3-12 business days

Format Hardcover

Condition Brand New

Description Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Publisher Description

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.

Details
  • ISBN 110702496X
  • ISBN-13 9781107024960
  • Title Kernel Methods and Machine Learning
  • Author S.Y. Kung
  • Format Hardcover
  • Year 2014
  • Pages 572
  • Publisher Cambridge University Press
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