On estimating probabilities in tree pruning

The Multiscale Classifier

IEEE Transactions on Pattern Analysis and Machine Intelligence

A preprocessing scheme for high-cardinality categorical attributes in classification and prediction problems

ACM SIGKDD Explorations Newsletter

Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF

Applied Intelligence

Toward effective knowledge acquisition with first-order logic induction

Journal of Computer Science and Technology

Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers

Machine Learning

Unsupervised learning of Bayesian networks via estimation of distribution algorithms: an application to gene expression data clustering

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models

A comparison of rough set methods and representative inductive learning algorithms

Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)

A k-norm pruning algorithm for decision tree classifiers based on error rate estimation

Machine Learning

Estimation of individual prediction reliability using the local sensitivity analysis

Applied Intelligence

Classification algorithm sensitivity to training data with non representative attribute noise

Decision Support Systems

An analysis of reduced error pruning

Journal of Artificial Intelligence Research

Machine learning in prognosis of the femoral neck fracture recovery

Artificial Intelligence in Medicine

k-norm misclassification rate estimation for decision trees

ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing

An application of rough sets to Monk's problems solving

RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing

Sparse data and the effect of overfitting avoidance in decision tree induction

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence

A Comparison of Rough Set Methods and Representative Inductive Learning Algorithms

Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)

On Learning Decision Structures

Fundamenta Informaticae

Automatic design of decision-tree algorithms with evolutionary algorithms

Evolutionary Computation

Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification

Data Mining and Knowledge Discovery