Decision trees work better than feed-forward back-prop neural nets for a specific class of problems

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 6, Issue , 2004, Pages 5969-5974

  Liu, Xiaomei ^a   Bowyer, Kevin W ^a   Hall, Lawrence O ^b  

^a University of Notre Dame   (United States)

^b University of South Florida   (United States)

Author keywords

Decision Trees; Feature Space; Neural Networks; Performance Evaluation

Indexed keywords

APPROXIMATORS; DECISION TREES; FEATURE SPACE; PERFORMANCE EVALUATION;

APPROXIMATION THEORY; BACKPROPAGATION; COMPUTER SOFTWARE; DATA REDUCTION; PROBLEM SOLVING; TREES (MATHEMATICS);

FEEDFORWARD NEURAL NETWORKS;

EID: 15744387802     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1401150     Document Type: Conference Paper

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