Open access peer-reviewed Edited Volume

Machine Learning

Edited by Abdelhamid Mellouk

Paris 12 Val de Marne University, France


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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Machine LearningEdited by Abdelhamid Mellouk

Published: January 1st 2009

ISBN: 978-3-902613-56-1

eBook (PDF) ISBN: 978-953-51-5838-7

Copyright year: 2009

Books open for chapter submissions

98994 Total Chapter Downloads

20 Web of Science Citations


Open access peer-reviewed

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

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


Open access peer-reviewed

2. From Automation To Autonomy

By Kentarou Kurashige, Yukiko Onoue and Toshio Fukuda


Open access peer-reviewed

3. Taking Experience to a Whole New Level

By Luis Ignacio Lopera


Open access peer-reviewed

4. Hamiltonian Neural Networks Based Networks for Learning

By Wieslaw Sienko and Wieslaw Citko


Open access peer-reviewed

5. Similarity Discriminant Analysis

By Luca Cazzanti


Open access peer-reviewed

6. Forced Information for Information-Theoretic Competitive Learning

By Ryotaro Kamimura


Open access peer-reviewed

7. Learning to Build a Semantic Thesaurus from Free Text Corpora without External Help

By Katia Lida Kermanidis


Open access peer-reviewed

8. Machine Learning Methods for Spoken Dialogue Simulation and Optimization

By Olivier Pietquin


Open access peer-reviewed

9. Hardening Email Security via Bayesian Additive Regression Trees

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


Open access peer-reviewed

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


Open access peer-reviewed

11. Model Selection for Ranking SVM Using Regularization Path

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


Open access peer-reviewed

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

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


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13. Linear Subspace Learning for Facial Expression Analysis

By Caifeng Shan


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14. Resampling Methods for Unsupervised Learning from Sample Data

By Ulrich Möller


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15. 3D Shape Classification and Retrieval Using Heterogenous Features and Supervised Learning

By Hamid Laga


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16. Performance Analysis of Hybrid Non-Supervised & Supervised Learning Techniques Applied to the Classification of Faults in Energy Transport Systems

By Jhon Albeiro Calderón, Germán Zapata Madrigal and Demetrio A. Ovalle Carranza


Open access peer-reviewed

17. Genetic Network Programming with Reinforcement Learning and Its Application to Creating Stock Trading Rules

By Yan Chen, Shingo Mabu and Kotaro Hirasawa


Open access peer-reviewed

18. Heuristic Dynamic Programming Nonlinear Optimal Controller

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


Open access peer-reviewed

19. Implicit Estimation of Another's Intention Based on Modular Reinforcement Learning

By Tadahiro Taniguchi, Kenji Ogawa and Tetsuo Sawaragi


Open access peer-reviewed

20. Machine Learning for Sequential Behavior Modeling and Prediction

By Xin Xu


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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