کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
419921 683876 2008 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-group support vector machines with measurement costs: A biobjective approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Multi-group support vector machines with measurement costs: A biobjective approach
چکیده انگلیسی

Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimization model in which we consider not only the generalization ability (modeled through the margin maximization), but also costs associated with the features. This cost is not limited to an economical payment, but can also refer to risk, computational effort, space requirements, etc. We introduce a Biobjective Mixed Integer Problem, for which Pareto optimal solutions are obtained. Those Pareto optimal solutions correspond to different classification rules, among which the user would choose the one yielding the most appropriate compromise between the cost and the expected misclassification rate.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Discrete Applied Mathematics - Volume 156, Issue 6, 15 March 2008, Pages 950–966
نویسندگان
, , ,