Pattern classification using ensemble methods

Pattern classification using ensemble methods

by Rokach, Lior

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Title Statements

  • Full title :Pattern classification using ensemble methods / Lior Rokach.

Edition Statements

  • Publication Date:©2010.

Publication Statements

  • Publisher(s):World Scientific
  • Place of Publication:Hackensack, NJ
  • Language:eng
  • Publication Date:©2010.

The Physical Object

  • Description:xv, 225 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9789814271066, 9814271063
  • oclc:ocn652381422
  • LC Classification:TK7882.P3
  • Dewey Decimal:621.389/28

Table of Contents

1. Introduction to Pattern Classification -- 1.1. Pattern Classification -- 1.2. Induction Algorithms -- 1.3. Rule Induction -- 1.4. Decision Trees -- 1.5. Bayesian Methods -- 1.6. Other Induction Methods -- 2. Introduction to Ensemble Learning -- 2.1. Back to the Roots -- 2.2. The Wisdom of Crowds -- 2.3. The Bagging Algorithm -- 2.4. The Boosting Algorithm -- 2.5. The AdaBoost Algorithm -- 2.6. No Free Lunch Theorem and Ensemble Learning -- 2.7. Bias-Variance Decomposition and Ensemble Learning -- 2.8. Occam's Razor and Ensemble Learning -- 2.9. Classifier Dependency -- 2.10. Ensemble Methods for Advanced Classification Tasks -- 3. Ensemble Classification -- 3.1. Fusions Methods -- 3.2. Selecting Classification -- 3.3. Mixture of Experts and Meta Learning -- 4. Ensemble Diversity -- 4.1. Overview -- 4.2. Manipulating the Inducer -- 4.3. Manipulating the Training Samples -- 4.4. Manipulating the Target Attribute Representation -- 4.5. Partitioning the Search Space -- 4.6. Multi-Inducers -- 4.7. Measuring the Diversity -- 5. Ensemble Selection -- 5.1. Ensemble Selection -- 5.2. Pre Selection of the Ensemble Size -- 5.3. Selection of the Ensemble Size While Training -- 5.4. Pruning…

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Subjects

Algorithmes ALGORITHMS Apprentissage automatique Machine learning Mustererkennung Pattern recognition systems Pattern Recognition, Automated Reconnaissance des formes (Informatique)

Writers

Rokach, Lior

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