Evidential reasoning using stochastic simulation of causal models
Artificial Intelligence
Instance-Based Learning Algorithms
Machine Learning
Original Contribution: Stacked generalization
Neural Networks
C4.5: programs for machine learning
C4.5: programs for machine learning
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
An Exact Probability Metric for Decision Tree Splitting and Stopping
Machine Learning
Feature subset selection by Bayesian network-based optimization
Artificial Intelligence
Machine Learning
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Machine Learning
Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
A system for induction of oblique decision trees
Journal of Artificial Intelligence Research
Artificial Intelligence in Medicine
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This paper presents a new hybrid classifier that combines the Nearest Neighbor distance based algorithm with the Classification Tree paradigm. The Nearest Neighbor algorithm is used as a preprocessing algorithm in order to obtain a modified training database for the posterior learning of the classification tree structure; experimental section shows the results obtained by the new algorithm; comparing these results with those obtained by the classification trees when induced from the original training data we obtain that the new approach performs better or equal according to the Wilcoxon signed rank statistical test.