Feature selection for multiclass support vector machines
نویسندگان
چکیده
منابع مشابه
Feature selection for multiclass support vector machines
In this paper, we present and evaluate a novel method for feature selection for Multiclass Support Vector Machines (MSVM). It consists in determining the relevant features using an upper bound of generalization error proper to the multiclass case called the multiclass radius margin bound. A score derived from this bound will rank the variables in order of relevance, then, forward method will be...
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ژورنال
عنوان ژورنال: AI Communications
سال: 2016
ISSN: 1875-8452,0921-7126
DOI: 10.3233/aic-160707