a new wrapper method for feature subset selection.
作者： Noelia Sánchez-Maroño , Amparo Alonso-Betanzos , Enrique F. Castillo
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摘要: ANOVA decomposition is used as the basis for develop- ment of a new wrapper feature subset selection method, in which functional networks are induction algorithm. The performance pro- posed method was tested against several artificial and real data sets. results obtained comparable, even better, some cases, to those accomplished by other well-known methods, being proposed algorithm faster. In this paper, based on presented. Functional al- gorithm. has been benchmark sets, their presented compared with filter algorithms.
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