Feature Discretization with Relevance and Mutual Information Criteria
Feature discretization (FD) techniques often yield adequate and compact representations of the data, suitable for machine learning and pattern recognition problems. These representations usually decrease the training time, yielding higher classification accuracy while allowing for humans to better u...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2016
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| Texto completo: | http://hdl.handle.net/10400.21/6073 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/6073 |