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Informatics software for the ecologist's toolbox: A basic example
2006
Ecological Informatics
Machine learning techniques for ecological applications or "eco-informatics" are becoming increasingly useful and accessible as software for these techniques becomes more readily available. Complex ecological data sets with a multitude of variables are also increasingly available. Ecologists, who do not necessarily have extensive backgrounds in machine-learning techniques, are facing decisions on new methods of data analysis. We evaluated the predictive ability of three commercially available
doi:10.1016/j.ecoinf.2006.03.007
fatcat:qigk4y3brzd3zoug3eou4vpn3a