A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization

PAC-Bayesian model averaging

COLT '99 Proceedings of the twelfth annual conference on Computational learning theory

Inducing classification and regression trees in first order logic

Relational Data Mining

PAC-Bayesian Stochastic Model Selection

Machine Learning

Nonparametric Regularization of Decision Trees

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Empirical Study of Recommender Systems Using Linear Classifiers

PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Structured Weight-Based Prediction Algorithms

ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory

A ``Top-Down and Prune'' Induction Scheme for Constrained Decision Committees

IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis

Data mining tasks and methods: Classification: decision-tree discovery

Handbook of data mining and knowledge discovery

Reduced error pruning of branching programs cannot be approximated to within a logarithmic factor

Information Processing Letters

Recommender systems using linear classifiers

The Journal of Machine Learning Research

Concentration inequalities for the missing mass and for histogram rule error

The Journal of Machine Learning Research

Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously

MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval

Statistical Region Merging

IEEE Transactions on Pattern Analysis and Machine Intelligence

Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees

The Journal of Machine Learning Research

Sample compression bounds for decision trees

Proceedings of the 24th international conference on Machine learning

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

Machine Learning

Statistical supports for mining sequential patterns and improving the incremental update process on data streams

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Learning prediction suffix trees with Winnow

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Inducing interpretable voting classifiers without trading accuracy for simplicity: theoretical results, approximation algorithms, and experiments

Journal of Artificial Intelligence Research

An analysis of reduced error pruning

Journal of Artificial Intelligence Research

k-norm misclassification rate estimation for decision trees

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

An evaluation of heuristics for rule ranking

Artificial Intelligence in Medicine

Statistical supports for frequent itemsets on data streams

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition

Generalised bottom-up pruning: A model level combination of decision trees

Expert Systems with Applications: An International Journal