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Zhang, Cha

Ensemble Machine Learning

Zhang, Cha - Ensemble Machine Learning, ebook

175,40€

Ebook, PDF with Adobe DRM
ISBN: 9781441993267
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Table of contents

1. Ensemble Learning
Robi Polikar

2. Boosting Algorithms: A Review of Methods, Theory, and Applications
Artur J. Ferreira, Mário A. T. Figueiredo

3. Boosting Kernel Estimators
Marco Marzio, Charles C. Taylor

4. Targeted Learning
Mark J. Laan, Maya L. Petersen

5. Random Forests
Adele Cutler, D. Richard Cutler, John R. Stevens

6. Ensemble Learning by Negative Correlation Learning
Huanhuan Chen, Anthony G. Cohn, Xin Yao

7. Ensemble Nyström
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

8. Object Detection
Jianxin Wu, James M. Rehg

9. Classifier Boosting for Human Activity Recognition
Raffay Hamid

10. Discriminative Learning for Anatomical Structure Detection and Segmentation
S. Kevin Zhou, Jingdan Zhang, Yefeng Zheng

11. Random Forest for Bioinformatics
Yanjun Qi

Keywords: Engineering, Computational Intelligence, Data Mining and Knowledge Discovery, Computer Science, general

Author(s)
 
Publisher
Springer
Publication year
2012
Language
en
Edition
2012
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9781441993267

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