Bayesian and Decision Tree Approaches for Pattern Recognition Including Feature Measurement Costs

Authors:
G. R. Dattatreya;V. V. S. Sarma
Affiliations:
School of Automation, Indian Institute of Science, Bangalore, India.;School of Automation, Indian Institute of Science, Bangalore, India.
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1981

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Abstract

The minimum cost classifier when general cost functions are associated with the tasks of feature measurement and classification is formulated as a decision graph which does not reject class labels at intermediate stages. Noting its complexities, a heuristic procedure to simplify this scheme to a binary decision tree is presented. The optimization of the binary tree in this context is carried out using dynamic programming. This technique is applied to the voiced-unvoiced-silence classification in speech processing.