Open access peer-reviewed Edited Volume

New Advances in Machine Learning

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60,881 Chapter Downloads

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Academic Editor

Yagang Zhang

North China Electric Power University, China

PublishedFebruary 1st, 2010

Doi10.5772/225

ISBN978-953-307-034-6

eBook (PDF) ISBN978-953-51-5906-3

Copyright year2010

Number of pages374

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Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
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Table of Contents

Open access peer-reviewed  chapters

1. Introduction to Machine Learning

By Taiwo Oladipupo Ayodele

3,542
1
2. Machine Learning Overview

By Taiwo Oladipupo Ayodele

3,768
3
3. Types of Machine Learning Algorithms

By Taiwo Oladipupo Ayodele

10,308
33
1,973
1,974
12. Data Mining with Skewed Data

By Manoel Fernando Alonso Gadi, Alair Pereira do Lago and Jorn Mehnen

4,537
13. Scaling up Instance Selection Algorithms by Dividing-and-Conquering

By Aida de Haro-Garcia, Juan Antonio Romero del Castillo and Nicolas Garcia-Pedrajas

1,910
14. Ant Colony Optimization

By Benlian Xu, Jihong Zhu and Qinlan Chen

2,439
2
15. Mahalanobis Support Vector Machines Made Fast and Robust

By Xunkai Wei, Yinghong Li, Dong Liu and Liguang Zhan

2,739
1
18. Dynamic Visual Motion Estimation

By Volker Willert and Julian Eggert

1,983

IMPACT OF THIS BOOK AND ITS CHAPTERS

60,881 Total Chapter Downloads

52 Crossref Citations

132 Web of Science Citations

177 Dimensions Citations

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