Combining meta-learning and search techniques to select parameters for support vector machines
نویسندگان
چکیده
منابع مشابه
Combining meta-learning and search techniques to select parameters for support vector machines
Support Vector Machines (SVMs) have achieved very good performance on different learning problems. However, the success of SVMs depends on the adequate choice of the values of a number of parameters, (e.g., the kernel and regularization parameters). In the current work, we propose the combination of Meta-Learning and Search algorithms to deal with the problem of SVM parameter selection. In this...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2012
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2011.07.005