Open access peer-reviewed Edited Volume

Machine Learning

Co-editor:

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.

Order hardcopy
IntechOpen
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

90559 Total Chapter Downloads

6 Web of Science Citations

chaptersDownloads

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

8036

Open access peer-reviewed

2. From Automation To Autonomy

By Kentarou Kurashige, Yukiko Onoue and Toshio Fukuda

4500

Open access peer-reviewed

3. Taking Experience to a Whole New Level

By Luis Ignacio Lopera

3708

Open access peer-reviewed

4. Hamiltonian Neural Networks Based Networks for Learning

By Wieslaw Sienko and Wieslaw Citko

4500

Open access peer-reviewed

5. Similarity Discriminant Analysis

By Luca Cazzanti

4170

Open access peer-reviewed

6. Forced Information for Information-Theoretic Competitive Learning

By Ryotaro Kamimura

3396

Open access peer-reviewed

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

By Katia Lida Kermanidis

3577

Open access peer-reviewed

8. Machine Learning Methods for Spoken Dialogue Simulation and Optimization

By Olivier Pietquin

3548

Open access peer-reviewed

9. Hardening Email Security via Bayesian Additive Regression Trees

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

4848

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

3524

Open access peer-reviewed

11. Model Selection for Ranking SVM Using Regularization Path

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

4643

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

3629

Open access peer-reviewed

13. Linear Subspace Learning for Facial Expression Analysis

By Caifeng Shan

3835

Open access peer-reviewed

14. Resampling Methods for Unsupervised Learning from Sample Data

By Ulrich Möller

4129

Open access peer-reviewed

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

By Hamid Laga

5437

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

4487

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

5295

Open access peer-reviewed

18. Heuristic Dynamic Programming Nonlinear Optimal Controller

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

5256

Open access peer-reviewed

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

By Tadahiro Taniguchi, Kenji Ogawa and Tetsuo Sawaragi

3506

Open access peer-reviewed

20. Machine Learning for Sequential Behavior Modeling and Prediction

By Xin Xu

6535

Edited Volume and chapters are indexed in

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

Order a hardcopy of the Edited Volume

Free shipping with DHL Express

Hardcover (ex. VAT)£170

Order now

Residents of European Union countries need to add a Book Value-Added Tax of 5%. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Special discount for IntechOpen contributors

All IntechOpen contributors are offered special discounts starting at 40% OFF available through your personal dashboard

Login and purchase