16 results on '"Zhou, Zhi-hua"'
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2. Sound and complete causal identification with latent variables given local background knowledge
3. Towards convergence rate analysis of random forests for classification
4. Result diversification by multi-objective evolutionary algorithms with theoretical guarantees
5. On the noise estimation statistics
6. Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms
7. One-pass AUC optimization
8. An analysis on recombination in multi-objective evolutionary optimization
9. On the doubt about margin explanation of boosting
10. On the consistency of multi-label learning
11. On the approximation ability of evolutionary optimization with application to minimum set cover
12. Multi-instance multi-label learning
13. A new approach to estimating the expected first hitting time of evolutionary algorithms
14. Three perspectives of data mining
15. Ensembling neural networks: Many could be better than all
16. Corrigendum to “Ensembling neural networks: Many could be better than all” [Artificial Intelligence 137 (1–2) (2002) 239–263]
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