Combinatorial Machine Learning

Name: Combinatorial Machine Learning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642209949
Price: 116.18 EUR
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A Rough Set Approach

Автор: Mikhail Moshkov, Beata Zielosko

Език:

Корици: С твърди корици

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

Наличност: Външен склад в ограничено количество

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

Информация за книгата

Автор

Mikhail Moshkov, Beata Zielosko

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2011

страници

182

EAN

9783642209949

ISBN

3642209947

Enbook ID

01657965

Издател

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Теглоt

1000

Размери

155 x 235 x 20

Пълно описание

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 It contains many unpublished results.§However, proofs are carefully selected to be understandable for students.§The results considered in this book can be useful for researchers in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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