Synthesis and analysis of recognizing procedures on the basis of full decision trees

Authors:
I. E. Genrikhov
Affiliations:
Moscow State Pedagogical University, Moscow, Russia 119991
Venue:
Pattern Recognition and Image Analysis
Year:
2011

Citing 2
Cited 0

C4.5: programs for machine learning

C4.5: programs for machine learning
Combining Pattern Classifiers: Methods and Algorithms

Combining Pattern Classifiers: Methods and Algorithms

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Abstract

Questions on the construction of recognition algorithms under conditions of incomplete information (blanks occur in the feature description of objects) are considered. Models using full decision trees are built. The results of testing on real problems are adduced.