Feature Selection in Decision Systems Based on Conditional Knowledge Granularity
Feature selection is an important technique for dimension reduction in machine learning and pattern recognition communities. Feature evaluation functions play essential roles in constructing feature selection algorithms. This paper introduces a new notion of knowledge granularity, called conditional...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2011-08-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2358.pdf |