Sciences: environmental sciences
Handbook of data mining and knowledge discovery
Potential Distribution Modelling Using Machine Learning
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Optimizing biodiversity prediction from abiotic parameters
Environmental Modelling & Software
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From the Publisher:This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one chapter have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem. Examples include the identification of species, optimal mate choice, predicting species distributions and modelling landscape features. A group of experienced machine learning workers, who have become interested in environmental problems, have written a chapter that demonstrates how machine learning methods can be used to discover equations that describe the dynamic behaviour of ecological systems. The final chapter reviews 'real learning', offering the potential for greater dialogue between the biological and machine learning communities.