Ensemble Classification Methods with Applications in RКНИГИ » НАУКА И УЧЕБА
Название: Ensemble Classification Methods with Applications in R Автор: Esteban Alfaro and Mat?as G?mez Издательство: Wiley Год: 2018 Формат: PDF Размер: 3 Мб Язык: английский / English
Ensemble Classification Methods with Applications in R introduces the concepts and principles of ensemble classifiers methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text puts the emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods’ basic characteristics and explain the types of problems that can emerge in its application.
Written by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others.
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Ensemble Classification Methods with Applications in R 
