Density Based Support Vector Machines for Classification
نویسندگان
چکیده
منابع مشابه
Density Based Support Vector Machines for Classification
Support Vector Machines (SVM) is the most successful algorithm for classification problems. SVM learns the decision boundary from two classes (for Binary Classification) of training points. However, sometimes there are some less meaningful samples amongst training points, which are corrupted by noises or misplaced in wrong side, called outliers. These outliers are affecting on margin and classi...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2015
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2015.040411