KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Computational Bioscience Research Center (CBRC)
Applied Mathematics and Computational Science Program
Permanent link to this recordhttp://hdl.handle.net/10754/653081
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AbstractIn this chapter, we consider optimization of decision and inhibitory rules including multi-stage optimization relative to a sequence of cost functions. We discuss an algorithm for counting the number of optimal rules, and consider simulation of a greedy algorithm for construction of decision rule sets. We also discuss results of computer experiments with decision an inhibitory rules: existence of small systems of enough accurate decision rules that cover almost all rows, and existence of totally optimal decision and inhibitory rules that have minimum length and maximum coverage simultaneously.
CitationAlsolami F, Azad M, Chikalov I, Moshkov M (2019) Multi-stage Optimization of Decision and Inhibitory Rules. Intelligent Systems Reference Library: 185–202. Available: http://dx.doi.org/10.1007/978-3-030-12854-8_12.