An Exact Probability Metric for Decision Tree Splitting and Stopping
Machine Learning
Discovering Robust Knowledge from Databases that Change
Data Mining and Knowledge Discovery
Rule Induction for Classification of Gene Expression Array Data
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
An Empirical Comparison of Pruning Methods for Ensemble Classifiers
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Simplifying decision trees: A survey
The Knowledge Engineering Review
MOB-ESP and other improvements in probability estimation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Incremental Learning of Linear Model Trees
Machine Learning
Argument based machine learning
Artificial Intelligence
An improved Naive Bayesian classifier with advanced discretisation method
International Journal of Intelligent Systems Technologies and Applications
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers
Data Mining and Knowledge Discovery
Process-oriented estimation of generalization error
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Keep the decision tree and estimate the class probabilities using its decision boundary
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing
Computational Statistics & Data Analysis
Averaged Naive Bayes Trees: A New Extension of AODE
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Simplification methods for model trees with regression and splitting nodes
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Generating explicit orderings for non-monotonic logics
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Individual attribute prior setting methods for naïve Bayesian classifiers
Pattern Recognition
User Modeling and User-Adapted Interaction
Towards the automatic design of decision tree induction algorithms
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A hybrid discretization method for naïve Bayesian classifiers
Pattern Recognition
A statistical approach to growing a reliable honest tree
Computational Statistics & Data Analysis
Machine learning for survival analysis: a case study on recurrence of prostate cancer
Artificial Intelligence in Medicine
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Classification of Unseen Examples under Uncertainty
Fundamenta Informaticae
Software effort prediction: a hyper-heuristic decision-tree based approach
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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