Machine Learning Methods for Ecological Applications
General Material Designation
[Book]
First Statement of Responsibility
edited by Alan H. Fielding.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boston, MA
Name of Publisher, Distributor, etc.
Springer US : Imprint : Springer
Date of Publication, Distribution, etc.
1999
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
(280 pages)
CONTENTS NOTE
Text of Note
1. An introduction to machine learning methods --;2. Artificial neural networks for pattern recognition --;3. Tree-based methods --;4. Genetic Algorithms I --;5. Genetic Algorithms II --;6. Cellular automata --;7. Equation discovery with ecological applications --;8. How should accuracy be measured? --;9. Real learning --;Author Index.
SUMMARY OR ABSTRACT
Text of Note
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.