Feature selection for monotonic classification via maximizing monotonic dependency
Monotonic classification is a special task in machine learning and pattern recognition. As to monotonic classification, it is assumed that both features and decision are ordinal and there is the monotonicity constraints between the features and decision. Little work has been focused on feature selec...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2014-06-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868495.pdf |