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

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2 Author(s)
Dattatreya, G.R. ; School of Automation, Indian Institute of Science, Bangalore, India. ; Sarma, V.V.S.

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.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-3 ,  Issue: 3 )