MODULAR FEATURE SELECTION USING RELATIVE IMPORTANCE FACTORS
نویسندگان
چکیده
منابع مشابه
Modular Feature Selection Using Relative Importance Factors
Feature selection plays an important role in finding relevant or irrelevant features in classification. Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. In this paper, we explore the use of feature selection in modular GA-based classification. We propose a new feature selection technique, Relative Importa...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence and Applications
سال: 2004
ISSN: 1469-0268,1757-5885
DOI: 10.1142/s1469026804001021