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Emerging Paradigms in Machine Learning
Buch
Buch
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Fachbuch
2012

Emerging Paradigms in Machine Learning

Kollektion

Smart Innovation, Systems and Technologies

ISBN
EAN
978-3-642-28698-8
9783642286988
Artikel-Nr.
QZK4WGZ
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-12.6
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CHF 197.00
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172.17
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1
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5
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03.08.2021
speech-bubble-svg Beschreibung

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.   

Inhaltsverzeichnis
From the content: Emerging Paradigms in Machine Learning: An Introduction.- Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization.- Optimised information abstraction in granular Min/Max clustering.- Mining Incomplete Data—A Rough Set Approach.- Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation.
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Zielgruppe
Research
Publikation
Deutschland
31.07.2012
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Sprache
Englisch
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Hardcover
498 Seiten
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