2009 International Conference on Machine Learning and Cybernetics 2009
DOI: 10.1109/icmlc.2009.5212227
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A new heuristic of the decision tree induction

Abstract: Decision tree induction is one of the useful approaches for extracting classification knowledge from a set of feature-based instances. The most popular heuristic information used in the decision tree generation is the minimum entropy. This heuristic information has a serious disadvantage-the poor generalization capability [3]. Support Vector Machine (SVM) is a classification technique of machine learning based on statistical learning theory. It has good generalization. Considering the relationship between the … Show more

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