Open access peer-reviewed Edited Volume

Machine Learning

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Academic Editor

Abdelhamid Mellouk
Abdelhamid Mellouk

Paris 12 Val de Marne University,
France

Published01 January 2009

ISBN978-3-902613-56-1

eBook (PDF) ISBN978-953-51-5838-7

Copyright year2009

Number of pages432

Machine Learning can be defined in various ways related to a scientific domain concerned with the design and development of theoretical and implementation tools that allow building systems with some Human Like intelligent behavior. Machine learning addresses more specifically the ability to improve automatically through experience.

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Table of Contents

Open access  chapters

1. Neural Machine Learning Approaches: Q-Learning and Complexity Estimation Based Information Processing System

By Abdennasser Chebira, Abdelhamid Mellouk, Kurosh Madani and Said Hoceini

9,127
2. From Automation To Autonomy

By Kentarou Kurashige, Yukiko Onoue and Toshio Fukuda

5,198
4,399
5,426
4,839
9. Hardening Email Security via Bayesian Additive Regression Trees

By Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang and Suku Nair

5,772
10. Learning Optimal Web Service Selections in Dynamic Environments when Many Quality-of-Service Criteria Matter

By Stéphane Dehousse, Stéphane Faulkner, Caroline Herssens, Ivan J. Jureta and Marcos Saerens

4,193
11. Model Selection for Ranking SVM Using Regularization Path

By Karina Zapien, Gilles Gasso, Thomas Gärtner and Stéphane Canu

5,369
12. Generation of Facial Expression Map using Supervised and Unsupervised Learning

By Masaki Ishii, Kazuhito Sato, Hirokazu Madokoro and Makoto Nishida

4,296
18. Heuristic Dynamic Programming Nonlinear Optimal Controller

By Asma Al-tamimi, Murad Abu-Khalaf and Frank Lewis

5,986
4,163

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106,140 Total Chapter Downloads

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20 Web of Science Citations

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