Generating test matrices to evaluate the performance of strategies to search typical testors

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“Generating test matrices to evaluate the performance of strategies to search typical testors” by Roberto Santana and Eduardo Alba, Institute of Cybernetics. Mathematics and Physics technical report ICIMAF 2000-130, (Havana, Cuba), Jan. 2001.

Abstract

Testors and particularly typical testors, have been used in feature selection and supervised classification problems. Deterministic algorithms have usually been used to find typical testors. Recently, a new approach based on evolutionary algorithms has been developed. A common problem to test the behavior of both approaches is the necessity of knowing, in advance, the number of typical testors of a given basic matrix. For an arbitrary matrix, this number can not be known unless all typical testors have been found. Therefore, this paper introduces, for the first time, a strategy to generate basic matrices for which the number of typical testors is known without to find them. This method is illustrated with some examples.

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BibTeX entry:

@techreport{Santana_and_Alba:2001a,
   author = {Roberto Santana and Eduardo Alba},
   title = {Generating test matrices to evaluate the performance of
	strategies to search typical testors},
   institution = {Institute of Cybernetics, Mathematics and Physics},
   number = {ICIMAF 2000-130},
   address = {Havana, Cuba},
   month = jan,
   year = {2001},
   issn = {0138-8916}
}

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