title: Bayesian and decision tree approaches for pattern recognition including feature measurement costs.
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.
authors.affiliation: School of Automation, Indian Institute of Science, Bangalore, India.
authors.forename: G R
authors.initials: GR
authors.lastname: Dattatreya
authors.forename: V V
authors.initials: VV
authors.lastname: Sarma