Open access peer-reviewed Edited Volume

Theory and Novel Applications of Machine Learning


Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.

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Theory and Novel Applications of Machine LearningEdited by Er Meng Joo

Published: January 1st 2009

DOI: 10.5772/56681

ISBN: 978-3-902613-55-4

eBook (PDF) ISBN: 978-953-51-5842-4

Copyright year: 2009

Books open for chapter submissions

48622 Total Chapter Downloads

25 Web of Science Citations


Open access peer-reviewed

1. A Drawing-Aid System using Supervised Learning

By Kei Eguchi


Open access peer-reviewed

2. Supervised Learning with Hybrid Global Optimisation Methods. Case Study: Automated Recognition and Classification of Cork Tiles

By Antoniya Georgieva and Ivan Jordanov


Open access peer-reviewed

3. Supervised Rule Learning and Reinforcement Learning in A Multi-Agent System for the Fish Banks Game

By Bartłomiej Śnieżyński


Open access peer-reviewed

4. Clustering, Classification and Explanatory Rules from Harmonic Monitoring Data

By Ali Asheibi, David Stirling, Danny Sutanto and Duane Robinson


Open access peer-reviewed

5. Discriminative Cluster Analysis

By Fernando De la Torre and Takeo Kanade


Open access peer-reviewed

6. Influence Value Q-Learning: A Reinforcement Learning Algorithm for Multi Agent Systems

By Dennis Barrios-Aranibar and Luiz M. G. Gonçalves


Open access peer-reviewed

7. Reinforcement Learning in Generating Fuzzy Systems

By Yi Zhou and Meng Joo Er


Open access peer-reviewed

8. Incremental-Topological-Preserving-Map-Based Fuzzy Q-Learning (ITPM-FQL)

By Meng Joo Er, Linn San and Yi Zhou


Open access peer-reviewed

9. A Q-learning with Selective Generalization Capability and its Application to Layout Planning of Chemical Plants

By Yoichi Hirashima


Open access peer-reviewed

10. A FAST-Based Q-Learning Algorithm

By Kao-Shing Hwang, Yuan-Pao Hsu and Hsin-Yi Lin


Open access peer-reviewed

11. Constrained Reinforcement Learning from Intrinsic and Extrinsic Rewards

By Eiji Uchibe and Kenji Doya


Open access peer-reviewed

12. TempUnit: A Bio-Inspired Spiking Neural Network

By Olivier F. L. Manette


Open access peer-reviewed

13. Proposal and Evaluation of the Improved Penalty Avoiding Rational Policy Making Algorithm

By Kazuteru Miyazaki, Takuji Namatame and Hiroaki Kobayashi


Open access peer-reviewed

14. A Generic Framework for Soft Subspace Pattern Recognition

By Dat Tran, Wanli Ma, Dharmendra Sharma, Len Bui and Trung Le


Open access peer-reviewed

15. Data Mining Applications in Higher Education and Academic Intelligence Management

By Vasile Paul Bresfelean


Open access peer-reviewed

16. Solving POMDPs with Automatic Discovery of Subgoals

By Le Tien Dung, Takashi Komeda and Motoki Takagi


Open access peer-reviewed

17. Anomaly-based Fault Detection with Interaction Analysis Using State Interface

By Byoung Uk Kim


Open access peer-reviewed

18. Machine Learning Approaches for Music Information Retrieval

By Tao Li, Mitsunori Ogihara, Bo Shao and DingdingWang


Open access peer-reviewed

19. LS-Draughts: Using Databases to Treat Endgame Loops in a Hybrid Evolutionary Learning System

By Henrique Castro Neto, Rita Maria Silva Julia and Gutierrez Soares Caixeta


Open access peer-reviewed

20. Blur Identification for Content Aware Processing in Images

By Jérôme Da Rugna and Hubert Konik


Open access peer-reviewed

21. An Adaptive Markov Game Model for Cyber Threat Intent Inference

By Dan Shen, Genshe Chen, Jose B. Cruz, Jr., Erik Blasch, and Khanh Pham


Open access peer-reviewed

22. Life-long Learning Through Task Rehearsal and Selective Knowledge Transfer

By Daniel L. Silver and Robert E. Mercer


Open access peer-reviewed

23. Machine Learning for Video Repeat Mining

By Xianfeng Yang and Qi Tian


Edited Volume and chapters are indexed in

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

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