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Theory and Novel Applications of Machine Learning

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Theory and Novel Applications of Machine Learning
Theory and Novel Applications of Machine Learning Edited by Meng Joo Er and Yi Zhou

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Academic Editor

Meng Joo Er
Meng Joo Er

The Institute of Artificial Intelligence and Marine Robotics, College of Marine Electrical Engineering, Dalian Maritime University, China

Co-editor

Yi Zhou
Yi Zhou

PublishedJanuary 1st, 2009

Doi10.5772/56681

ISBN978-3-902613-55-4

eBook (PDF) ISBN978-953-51-5842-4

Copyright year2009

Number of pages388

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Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
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Table of Contents

Open access  chapters

1. A Drawing-Aid System using Supervised Learning

By Kei Eguchi

1,680
2. Supervised Learning with Hybrid Global Optimisation Methods. Case Study: Automated Recognition and Classification of Cork Tiles

By Antoniya Georgieva and Ivan Jordanov

2,221
3. Supervised Rule Learning and Reinforcement Learning in A Multi-Agent System for the Fish Banks Game

By Bartłomiej Śnieżyński

2,285
4. Clustering, Classification and Explanatory Rules from Harmonic Monitoring Data

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

2,088
5. Discriminative Cluster Analysis

By Fernando De la Torre and Takeo Kanade

2,675
6. Influence Value Q-Learning: A Reinforcement Learning Algorithm for Multi Agent Systems

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

2,935
7. Reinforcement Learning in Generating Fuzzy Systems

By Yi Zhou and Meng Joo Er

2,233
8. Incremental-Topological-Preserving-Map-Based Fuzzy Q-Learning (ITPM-FQL)

By Meng Joo Er, Linn San and Yi Zhou

2,151
9. A Q-learning with Selective Generalization Capability and its Application to Layout Planning of Chemical Plants

By Yoichi Hirashima

1,745
10. A FAST-Based Q-Learning Algorithm

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

2,314
11. Constrained Reinforcement Learning from Intrinsic and Extrinsic Rewards

By Eiji Uchibe and Kenji Doya

2,205
12. TempUnit: A Bio-Inspired Spiking Neural Network

By Olivier F. L. Manette

1,873
13. Proposal and Evaluation of the Improved Penalty Avoiding Rational Policy Making Algorithm

By Kazuteru Miyazaki, Takuji Namatame and Hiroaki Kobayashi

1,521
14. A Generic Framework for Soft Subspace Pattern Recognition

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

1,858
15. Data Mining Applications in Higher Education and Academic Intelligence Management

By Vasile Paul Bresfelean

3,223
16. Solving POMDPs with Automatic Discovery of Subgoals

By Le Tien Dung, Takashi Komeda and Motoki Takagi

2,210
17. Anomaly-based Fault Detection with Interaction Analysis Using State Interface

By Byoung Uk Kim

2,411
18. Machine Learning Approaches for Music Information Retrieval

By Tao Li, Mitsunori Ogihara, Bo Shao and DingdingWang

3,184
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

2,764
20. Blur Identification for Content Aware Processing in Images

By Jérôme Da Rugna and Hubert Konik

1,939
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

2,786
22. Life-long Learning Through Task Rehearsal and Selective Knowledge Transfer

By Daniel L. Silver and Robert E. Mercer

2,769
23. Machine Learning for Video Repeat Mining

By Xianfeng Yang and Qi Tian

1,962

IMPACT OF THIS BOOK AND ITS CHAPTERS

53,029 Total Chapter Downloads

2,608 Total Chapter Views

25 Web of Science Citations

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