Hong et al., 2015 - Google Patents
A generalized mixture framework for multi-label classificationHong et al., 2015
View PDF- Document ID
- 9544469113057711207
- Author
- Hong C
- Batal I
- Hauskrecht M
- Publication year
- Publication venue
- Proceedings of the 2015 SIAM International Conference on Data Mining
External Links
Snippet
We develop a novel probabilistic ensemble framework for multi-label classification that is based on the mixtures-of-experts architecture. In this framework, we combine multi-label classification models in the classifier chains family that decompose the class posterior …
- 239000000203 mixture 0 title description 24
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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