publication . Conference object . 2015

Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees

Serrurier, Mathieu; Prade, Henri;
Open Access English
  • Published: 06 Jul 2015
  • Publisher: HAL CCSD
  • Country: France
International audience; Entropy gain is widely used for learning decision trees. However, as we go deeper downward the tree, the examples become rarer and the faithfulness of entropy decreases. Thus, misleading choices and over-fitting may occur and the tree has to be adjusted by using an early-stop criterion or post pruning algorithms. However, these methods still depends on the choices previously made, which may be unsatisfactory. We propose a new cumulative entropy function based on confidence intervals on frequency estimates that together considers the entropy of the probability distribution and the uncertainty around the estimation of its parameters. This f...
free text keywords: Intelligence artificielle, Apprentissage, Logique en informatique, Informatique et langage, Machine learning, Decision trees, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI], [ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG], [ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO], [ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL]
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