Bayesian and decision tree approaches for pattern recognition including feature measurement costs

Dattatreya, G. R. ; Sarma, V. V. S. (1981) Bayesian and decision tree approaches for pattern recognition including feature measurement costs IEEE Transactions on Pattern Analysis and Machine Intelligence (3). pp. 293-298. ISSN 0162-8828

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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...

Related URL: http://dx.doi.org/10.1109/TPAMI.1981.4767102

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.

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Deposited On:15 Sep 2011 03:35
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