This paper proposes a hybrid classi®cation learning system for databases that integrates rule induction and lazy learning. For rule induction learning, we use an entropy function based on Hellinger divergence to measure the amount of information each inductive rule contains. For lazy learning, we al
A co-classification approach to learning from
✍ Scribed by Massih-Reza Amini; Cyril Goutte
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Weight
- 565 KB
- Volume
- 79
- Category
- Article
- ISSN
- 0885-6125
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