New Advances in Machine Learning | IntechOpen

Open access peer-reviewed Edited Volume

New Advances in Machine Learning

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69,448 Chapter Downloads

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Academic Editor

Yagang Zhang
Yagang Zhang

North China Electric Power University,
China

Published01 February 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  chapters

1. Introduction to Machine Learning

By Taiwo Oladipupo Ayodele

4,440
4
2. Machine Learning Overview

By Taiwo Oladipupo Ayodele

4,717
12
3. Types of Machine Learning Algorithms

By Taiwo Oladipupo Ayodele

11,509
80
2,314
1
6. Classifiers Association for High Dimensional Problem: Application to Pedestrian Recognition

By Laetitia Leyrit, Thierry Chateau and Jean-Thierry Lapreste

2,258
2,317
2,507
12. Data Mining with Skewed Data

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

4,780
13. Scaling up Instance Selection Algorithms by Dividing-and-Conquering

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

2,216
14. Ant Colony Optimization

By Benlian Xu, Jihong Zhu and Qinlan Chen

2,707
3
15. Mahalanobis Support Vector Machines Made Fast and Robust

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

3,069
1
18. Dynamic Visual Motion Estimation

By Volker Willert and Julian Eggert

2,192
2,366

IMPACT OF THIS BOOK AND ITS CHAPTERS

69,448 Total Chapter Downloads

5,342 Total Chapter Views

140 Crossref Citations

462 Dimensions Citations

21 Altmetric Score

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