Auto-WEKA : combined selection and hyperparameter optimization of supervised machine learning algorithms
Many different machine learning algorithms exist; taking into account each algorithm's set of hyperparameters, there is a staggeringly large number of possible choices. This project considers the problem of simultaneously selecting a learning algorithm and setting its hyperparameters. Previous...
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| Language: | English |
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University of British Columbia
2014
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| Online Access: | http://hdl.handle.net/2429/46177 |