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Kernel Methods and Machine Learning
Engelsk
Bogcover for Kernel Methods and Machine Learning af S. Y. Kung, 9781107024960
Specifikationer
Sprog:
Engelsk
Sider:
572
ISBN-13:
9781107024960
Indbinding:
Hardback
ISBN-10:
110702496X
Kategori:
Udg. Dato:
17 apr 2014
Størrelse i cm:
25,5 x 17,4 x 3,2
Oplagsdato:
17 apr 2014
Forfatter(e):

Kernel Methods and Machine Learning

Engelsk
Hardback 2014
Format:

Bog beskrivelse
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.
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Specifikationer
Sprog:
Engelsk
Sider:
572
ISBN-13:
9781107024960
Indbinding:
Hardback
ISBN-10:
110702496X
Kategori:
Udg. Dato:
17 apr 2014
Størrelse i cm:
25,5 x 17,4 x 3,2
Oplagsdato:
17 apr 2014
Forfatter(e):
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