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Encyclopedia of Machine Learning

  • Reference work
  • Nov 2010

Overview

Editors:
  1. Claude Sammut

    1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

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  2. Geoffrey I. Webb

    1. Faculty of Information Technology, Clayton School of Information Technology, Monash University, Victoria, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Over 250 entries covering key concepts and terms in the broad field of machine learning. Entries include in-depth essays and definitions, historical background, key applications, and bibliographies
  • Extensive cross-references support efficient, user-friendly searchers for immediate access to useful information
  • Serves to open the field to those inquiring into this fast-growing area of research
  • Includes supplementary material: sn.pub/extras

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Table of contents (892 entries)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. 0-9

    1. 1-Norm Distance

      Pages 1-1

  3. A

    1. Abduction

      • Antonis C. Kakas
      Pages 3-9

    2. Absolute Error Loss

      Pages 9-9

    3. Accuracy

      Pages 9-10

    4. ACO

      Pages 10-10

    5. Actions

      Pages 10-10

    6. Active Learning

      • David Cohn
      Pages 10-14

    7. Active Learning Theory

      • Sanjoy Dasgupta
      Pages 14-19

    8. Adaboost

      Pages 19-19

    9. Adaptive Control Processes

      Pages 19-19

    10. Adaptive Real-Time Dynamic Programming

      • Andrew G. Barto
      Pages 19-22

    11. Adaptive Resonance Theory

      • Gail A. Carpenter, Stephen Grossberg
      Pages 22-35

    12. Adaptive System

      Pages 35-35

    13. Agent

      Pages 35-35

    14. Agent-Based Computational Models

      Pages 35-35

    15. Agent-Based Modeling and Simulation

      Pages 35-35

    16. Agent-Based Simulation Models

      Pages 35-35

    17. AIS

      Pages 35-35

    18. Algorithm Evaluation

      • Geoffrey I. Webb
      Pages 35-36
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Editors and Affiliations

  • School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

    Claude Sammut

  • Faculty of Information Technology, Clayton School of Information Technology, Monash University, Victoria, Australia

    Geoffrey I. Webb

About the editors

Claude Sammut is a Professor of Computer Science and Engineering at the University of New South Wales, Australia, and Head of the Artificial Intelligence Research Group. He is the UNSW node Director of the ARC Centre of Excellence for Autonomous Systems and a member of the joint ARC/NH&MRC project on Thinking Systems. He is on the editorial boards of the Journal of Machine Learning Research, the Machine Learning Journal and New Generation Computing, and was the chairman of the 2007 International Conference on Machine Learning.

Geoffrey I. Webb is research professor in the faculty of Information Technology at Monash University, Melbourne, Australia. He has published more than 150 scientific papers and is the author of the data mining software package Magnum Opus. His research areas include strategies for strengthening the Naïve Bayes machine learning technique, K-optimal pattern discovery, and work on Occam’s razor. He is editor-in-chief of Springer’s Data Mining and Knowledge Discovery journal, as well as being on the editorial board of Machine Learning.

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