Emerging Paradigms in Machine Learning

Name: Emerging Paradigms in Machine Learning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642286988
Price: 2286 CZK
Availability: InStock

Autor: Sheela Ramanna, Robert J. Howlett

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele

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2 286 Kč

This book presents fundamental topics and algorithms that form the core of machine learning (ML) res...

Informace o knize

Autor

Sheela Ramanna, Robert J. Howlett

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2012

Stránek

498

EAN

9783642286988

ISBN

3642286984

Enbook ID

01660685

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

939

Rozměry

155 x 235 x 33

Kompletní popis

This book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The multidisciplinary nature of machine learning makes it a very fascinating and popular area for research. The book is aiming at students, practitioners and researchers and captures the diversity and richness of the field of machine learning and intelligent systems. Several chapters are devoted to computational learning models such as granular computing, rough sets and fuzzy sets An account of applications of well-known learning methods in biometrics, computational stylistics, multi-agent systems, spam classification including an extremely well-written survey on Bayesian networks shed light on the strengths and weaknesses of the methods. Practical studies yielding insight into challenging problems such as learning from incomplete and imbalanced data, pattern recognition of stochastic episodic events and on-line mining of non-stationary data streams are a key part of this book.

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Emerging Paradigms in Machine Learning

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