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Ensemble Machine Learning

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Cover of 'Ensemble Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Ensemble Learning
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    Chapter 2 Boosting Algorithms: A Review of Methods, Theory, and Applications
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    Chapter 3 Boosting Kernel Estimators
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    Chapter 4 Targeted Learning
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    Chapter 5 Random Forests
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    Chapter 6 Ensemble Learning by Negative Correlation Learning
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    Chapter 7 Ensemble Nyström
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    Chapter 8 Object Detection
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    Chapter 9 Classifier Boosting for Human Activity Recognition
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    Chapter 10 Discriminative Learning for Anatomical Structure Detection and Segmentation
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    Chapter 11 Random Forest for Bioinformatics
Attention for Chapter 2: Boosting Algorithms: A Review of Methods, Theory, and Applications
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