Combinatorial Machine Learning

Name: Combinatorial Machine Learning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642209949
Price: 40382 HUF
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A Rough Set Approach

Szerző: Mikhail Moshkov, Beata Zielosko

Nyelv:

Kötés: Kemény kötésű

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

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

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Decision trees and decision rule systems are widely used in different applications§as algorithms for...

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Szerző

Mikhail Moshkov, Beata Zielosko

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2011

oldal

182

EAN

9783642209949

ISBN

3642209947

Enbook ID

01657965

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

1000

Méretek

155 x 235 x 20

Teljes leírás

Decision trees and decision rule systems are widely used in different applications§as algorithms for problem solving, as predictors, and as a way for§knowledge representation. Reducts play key role in the problem of attribute§(feature) selection. The aims of this book are (i) the consideration of the sets§of decision trees, rules and reducts; (ii) study of relationships among these§objects; (iii) design of algorithms for construction of trees, rules and reducts;§and (iv) obtaining bounds on their complexity. Applications for supervised§machine learning, discrete optimization, analysis of acyclic programs, fault§diagnosis, and pattern recognition are considered also. This is a mixture of§research monograph and lecture notes. It contains many unpublished results.§However, proofs are carefully selected to be understandable for students.§The results considered in this book can be useful for researchers in machine§learning, data mining and knowledge discovery, especially for those who are§working in rough set theory, test theory and logical analysis of data. The book§can be used in the creation of courses for graduate students.

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Combinatorial Machine Learning

A Rough Set Approach

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