Predicting channel stability in Colorado mountain streams using hydrobiogeomorphic and land use data : a cost-sensitive machine learning approach to modeling rapid assessment protocols
Natural resource data are typically non-linear and complex, yet modeling methods often utilize statistical analysis techniques, such as regression, that are insufficient for use on such data. This research proposes an innovative modeling method based on pattern recognition techniques borrowed from t...
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| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1957/32595 |