Open access peer-reviewed Edited Volume

Machine Learning

Edited by Yagang Zhang

University of Pristina, Kosovo

Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.

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Machine LearningEdited by Yagang Zhang

Published: February 1st 2010

DOI: 10.5772/217

ISBN: 978-953-307-033-9

eBook (PDF) ISBN: 978-953-51-5899-8

Copyright year: 2010

Books open for chapter submissions

41273 Total Chapter Downloads

19 Crossref Citations

31 Web of Science Citations

37 Dimensions Citations


Open access peer-reviewed

1. Machine Learning: When and Where the Horses Went Astray?

By Emanuel Diamant


Open access peer-reviewed

2. SOMs for Machine Learning

By Iren Valova, Derek Beaton and Daniel MacLean


Open access peer-reviewed

3. Relational Analysis for Clustering Consensus

By Mustapha Lebbah, Younes Bennani, Nistor Grozavu and Hamid Benhadda


Open access peer-reviewed

4. A Classifier Fusion System with Verification Module for Improving Recognition Reliability

By Ping Zhang


Open access peer-reviewed

5. Watermarking Representation for Adaptive Image Classification with Radial Basis Function Network

By Chi-Man Pun


Open access peer-reviewed

6. Recent Advances in Neural Networks Structural Risk Minimization Based on Multiobjective Complexity Control Algorithms

By D.A.G. Vieira, J.A. Vasconcelos and R.R. Saldanha


Open access peer-reviewed

7. Statistics Character and Complexity in Nonlinear Systems

By Yagang Zhang and Zengping Wang


Open access peer-reviewed

8. Adaptive Basis Function Construction: An Approach for Adaptive Building of Sparse Polynomial Regression Models

By Gints Jekabsons


Open access peer-reviewed

9. On The Combination of Feature and Instance Selection

By Jerffeson Teixeira de Souza, Rafael Augusto Ferreira do Carmo and Gustavo Augusto Campos de Lima


Open access peer-reviewed

10. Fuzzy System with Positive and Negative Rules

By Thanh Minh Nguyen and Q. M. Jonathan Wu


Open access peer-reviewed

11. Automatic Construction of Knowledge-Based System Using Knowware System

By Sio-Long Lo and Liya Ding


Open access peer-reviewed

12. Applying Fuzzy Bayesian Maximum Entropy to Extrapolating Deterioration in Repairable Systems

By Chi-Chang Chang, Ruey-Shin Chen and Pei-Ran Sun


Open access peer-reviewed

13. Alarming Large Scale of Flight Delays: an Application of Machine Learning

By Zonglei Lu


Open access peer-reviewed

14. Machine Learning Tools for Geomorphic Mapping of Planetary Surfaces

By Tomasz F. Stepinski and Ricardo Vilalta


Open access peer-reviewed

15. Network Intrusion Detection using Machine Learning and Voting techniques

By Tich Phuoc Tran, Pohsiang Tsai, Tony Jan and Xiaoying Kong


Open access peer-reviewed

16. Artificial Immune Network: Classification on Heterogeneous Data

By Mazidah Puteh, Abdul Razak Hamdan, Khairuddin Omar and Mohd Tajul Hasnan Mohd Tajuddin


Open access peer-reviewed

17. Modified Cascade Correlation Neural Network and its Applications to Multidisciplinary Analysis Design and Optimization in Ship Design

By Adeline Schmitz, Frederick Courouble, Hamid Hefazi and Eric Besnard


Open access peer-reviewed

18. Massive-Training Artificial Neural Networks (MTANN) in Computer-Aided Detection of Colorectal Polyps and Lung Nodules in CT

By Kenji Suzuki Ph.D.


Open access peer-reviewed

19. Automated Detection and Analysis of Particle Beams in Laser-Plasman Accelerator Simulations

By Daniela M. Ushizima, Cameron G. Geddes, Estelle Cormier-Michel, E.Wes Bethel, Janet Jacobsen, Prabhat, Oliver Rubel, Gunther Weber, Bernd Hamann, Peter Messmer and Hans Haggen


Open access peer-reviewed

20. Specificity Enhancement in microRNA Target Prediction through Knowledge Discovery

By Yanju Zhang, Jeroen S. de Bruin and Fons J. Verbeek


Open access peer-reviewed

21. Extraction Of Meaningful Rules In A Medical Database

By Sang C. Suh, Nagendra B. Pabbisetty and Sri G. Anaparthi


Open access peer-reviewed

22. Establishing and Retrieving Domain Knowledge from Semi-Structural Corpora

By Hsien-Chang Wang, Pei-Chin Yang and Chen-Chieh Li


Edited Volume and chapters are indexed in

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

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