Learning decision trees with taxonomy of propositionalized attributes

DOI10.1016/j.patcog.2008.07.009zbMath1159.68543OpenAlexW2056959138MaRDI QIDQ955830

Dae-Ki Kang, Kiwook Sohn

Publication date: 20 November 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.07.009

zbMATH Keywords

decision treetaxonomypropositionalizationJensen-Shannon divergence measure

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

Bayesian prediction model based on attribute weighting and kernel density estimations

Uses Software

• UCI-ml
• C4.5

Cites Work

• Entropy differential metric, distance and divergence measures in probability spaces: A unified approach
• Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
• Applications of data mining to electronic commerce
• On the convexity of some divergence measures based on entropy functions
• Some inequalities for information divergence and related measures of discrimination
• Multivariate Information Bottleneck
• Information radius
• On Information and Sufficiency
• An invariant form for the prior probability in estimation problems
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Learning decision trees with taxonomy of propositionalized attributes