Machine Learning

Abdelhamid Mellouk; Abdennacer Chebira

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Open access peer-reviewed Edited Volume

Machine Learning

Edited by Abdelhamid Mellouk

Co-editor:

Abdennasser Chebira

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

Books open for chapter submissions

95756 Total Chapter Downloads

20 Web of Science Citations

chapters		Downloads
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		8398
Open access peer-reviewed 2. From Automation To Autonomy By Kentarou Kurashige, Yukiko Onoue and Toshio Fukuda		4726
Open access peer-reviewed 3. Taking Experience to a Whole New Level By Luis Ignacio Lopera		3929
Open access peer-reviewed 4. Hamiltonian Neural Networks Based Networks for Learning By Wieslaw Sienko and Wieslaw Citko		4794
Open access peer-reviewed 5. Similarity Discriminant Analysis By Luca Cazzanti		4397
Open access peer-reviewed 6. Forced Information for Information-Theoretic Competitive Learning By Ryotaro Kamimura		3602
Open access peer-reviewed 7. Learning to Build a Semantic Thesaurus from Free Text Corpora without External Help By Katia Lida Kermanidis		3819
Open access peer-reviewed 8. Machine Learning Methods for Spoken Dialogue Simulation and Optimization By Olivier Pietquin		3855
Open access peer-reviewed 9. Hardening Email Security via Bayesian Additive Regression Trees By Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang and Suku Nair		5197
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		3742
Open access peer-reviewed 11. Model Selection for Ranking SVM Using Regularization Path By Karina Zapien, Gilles Gasso, Thomas Gärtner and Stéphane Canu		4887
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		3843
Open access peer-reviewed 13. Linear Subspace Learning for Facial Expression Analysis By Caifeng Shan		4064
Open access peer-reviewed 14. Resampling Methods for Unsupervised Learning from Sample Data By Ulrich Möller		4363
Open access peer-reviewed 15. 3D Shape Classification and Retrieval Using Heterogenous Features and Supervised Learning By Hamid Laga		5797
Open access peer-reviewed 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		4774
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		5547
Open access peer-reviewed 18. Heuristic Dynamic Programming Nonlinear Optimal Controller By Asma Al-tamimi, Murad Abu-Khalaf and Frank Lewis		5485
Open access peer-reviewed 19. Implicit Estimation of Another's Intention Based on Modular Reinforcement Learning By Tadahiro Taniguchi, Kenji Ogawa and Tetsuo Sawaragi		3704
Open access peer-reviewed 20. Machine Learning for Sequential Behavior Modeling and Prediction By Xin Xu		6835

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Machine Learning

Co-editor:

Edited Volume and chapters are indexed in

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