Carte Combinatorial Machine Learning Mikhail Moshkov

Combinatorial Machine Learning

A Rough Set Approach

Limbă: engleză
Legare: Copertă tare
Disponibilitate: În depozitul extern în cantități mici
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584.36 lei
Decision trees and decision rule systems are widely used in different applications§as algorithms for...

Informații despre carte

Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2011
Pagini
182
EAN
9783642209949
ISBN
3642209947
Enbook ID
01657965
Greutate
1000
Dimensiuni
155 x 235 x 20

Descriere completă

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 It contains many unpublished results.§However, proofs are carefully selected to be understandable for students.§The results considered in this book can be useful for researchers in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