CoCoST: A Computational Cost Sensitive Classifier

Abstract

Computational cost of classification is as important as accuracy in on-line classification systems. The computational cost is usually dominated by the cost of computing implicit features of the raw input data. Very few efforts have been made to design classifiers which perform effectively with limited computational power; instead, feature selection is… (More)

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Cite this paper

@inproceedings{Li2009CoCoSTAC, title={CoCoST: A Computational Cost Sensitive Classifier}, author={Liyun Li and Umut Topkara and Baris Coskun and Nasir D. Memon}, year={2009} }