Dynamic Programming Approach for Exact Decision Rule Optimization

Abstract
This chapter is devoted to the study of an extension of dynamic programming approach that allows sequential optimization of exact decision rules relative to the length and coverage. It contains also results of experiments with decision tables from UCI Machine Learning Repository. © Springer-Verlag Berlin Heidelberg 2013.

Citation
Amin, T., Chikalov, I., Moshkov, M., & Zielosko, B. (2013). Dynamic Programming Approach for Exact Decision Rule Optimization. Intelligent Systems Reference Library, 211–228. doi:10.1007/978-3-642-30344-9_6

Publisher
Springer Nature

Journal
Intelligent Systems Reference Library

DOI
10.1007/978-3-642-30344-9_6

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