Functional Networks and Analysis of Variance for Feature Selection
作者： Noelia Sánchez-Maroño , María Caamaño-Fernández , Enrique Castillo , Amparo Alonso-Betanzos
DOI: 10.1007/11875581_123
关键词:
摘要: In this paper a method for feature selection based on analysis of variance and using functional networks as induction algorithm is presented. It follows backward search, but several features are discarded in the same step. The proposed compared with two SVM methods, obtaining smaller set similar accuracy.
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