Improving Supervised Learning by Feature Decomposition
FoIKS '02 Proceedings of the Second International Symposium on Foundations of Information and Knowledge Systems
Concentration inequalities for the missing mass and for histogram rule error
The Journal of Machine Learning Research
Computable Shell Decomposition Bounds
The Journal of Machine Learning Research
Towards tight bounds for rule learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Feature set decomposition for decision trees
Intelligent Data Analysis
Sample compression bounds for decision trees
Proceedings of the 24th international conference on Machine learning
Experiments with an innovative tree pruning algorithm
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Mining manufacturing data using genetic algorithm-based feature set decomposition
International Journal of Intelligent Systems Technologies and Applications
A tighter error bound for decision tree learning using PAC learnability
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
k-norm misclassification rate estimation for decision trees
ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing
A meta-heuristic approach for improving the accuracy in some classification algorithms
Computers and Operations Research
PAC-Bayesian Analysis of Co-clustering and Beyond
The Journal of Machine Learning Research
Generalization behaviour of alkemic decision trees
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Evaluation of decision tree pruning with subadditive penalties
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Hierarchical linear support vector machine
Pattern Recognition
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