Tree based discretization for continuous state space reinforcement learning
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Feature Generation Using General Constructor Functions
Machine Learning
Convex Hulls in Concept Induction
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
VQTree: Vector Quantization for Decision Tree Induction
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
DS '01 Proceedings of the 4th International Conference on Discovery Science
Functional Trees for Regression
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
An Empirical Comparison of Pruning Methods for Ensemble Classifiers
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
A maximal figure-of-merit learning approach to text categorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Simplifying decision trees: A survey
The Knowledge Engineering Review
Machine Learning
ACM Transactions on Information Systems (TOIS)
A system for induction of oblique decision trees
Journal of Artificial Intelligence Research
OC1: randomized induction of oblique decision trees
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Towards the automatic design of decision tree induction algorithms
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Model trees for classification of hybrid data types
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Shot classification and scene segmentation based on MPEG compressed movie analysis
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Expert Systems with Applications: An International Journal
Building fast decision trees from large training sets
Intelligent Data Analysis
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This article presents an algorithm for inducing multiclass decision trees with multivariate tests at internal decision nodes. Each test is constructed by training a linear machine and eliminating variables in a controlled manner. Empirical results demonstrate that the algorithm builds small accurate trees across a variety of tasks.