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Machine Learning Methods for Ecological Applications Alan H. Fielding

Machine Learning Methods for Ecological Applications By Alan H. Fielding

Machine Learning Methods for Ecological Applications by Alan H. Fielding


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Summary

This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.

Machine Learning Methods for Ecological Applications Summary

Machine Learning Methods for Ecological Applications by Alan H. Fielding

This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.

Machine Learning Methods for Ecological Applications Reviews

`I believe this book is a very useful contribution and an excellent starting point for ecologists who are interested in applying machine learning methods to ecological problems.'
Uygar OEzesmi in Ecology, 81:9 (2000)

Table of Contents

Contributors. Preface. Acknowledgements. 1. An introduction to machine learning methods; A. Fielding. 2. Artificial neural networks for pattern recognition; L. Boddy, C.W. Morris. 3. Tree-based methods; J.F. Bell. 4. Genetic Algorithms I; J.N.R. Jeffers. 5. Genetic Algorithms II; D.R.B. Stockwell. 6. Cellular automata; D. Dunkerley. 7. Equation discovery with ecological applications; S. Szeroski, et al. 8. How should accuracy be measured? A. Fielding. 9. Real learning; B. Stevens-Wood. Author Index. Subject Index.

Additional information

NPB9780412841903
9780412841903
0412841908
Machine Learning Methods for Ecological Applications by Alan H. Fielding
New
Hardback
Chapman and Hall
1999-08-31
261
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Machine Learning Methods for Ecological Applications