Open access peer-reviewed Edited Volume

New Advances in Machine Learning

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66,550 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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  • Dimension
  • OpenAIRE
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Table of Contents

Open access  chapters

1. Introduction to Machine Learning

By Taiwo Oladipupo Ayodele

3,993
4
2. Machine Learning Overview

By Taiwo Oladipupo Ayodele

4,275
7
3. Types of Machine Learning Algorithms

By Taiwo Oladipupo Ayodele

11,142
66
2,209
6. Classifiers Association for High Dimensional Problem: Application to Pedestrian Recognition

By Laetitia Leyrit, Thierry Chateau and Jean-Thierry Lapreste

2,171
2,255
2,421
12. Data Mining with Skewed Data

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

4,681
13. Scaling up Instance Selection Algorithms by Dividing-and-Conquering

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

2,138
14. Ant Colony Optimization

By Benlian Xu, Jihong Zhu and Qinlan Chen

2,607
2
15. Mahalanobis Support Vector Machines Made Fast and Robust

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

2,979
1
18. Dynamic Visual Motion Estimation

By Volker Willert and Julian Eggert

2,121
2,275

IMPACT OF THIS BOOK AND ITS CHAPTERS

66,550 Total Chapter Downloads

5,342 Total Chapter Views

102 Crossref Citations

132 Web of Science Citations

377 Dimensions Citations

21 Altmetric Score

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