Laplacian Support Vector Machines with Multi-Kernel Learning
نویسندگان
چکیده
منابع مشابه
Multi-view Laplacian Support Vector Machines
We propose a new approach, multi-view Laplacian support vector machines (SVMs), for semi-supervised learning under the multiview scenario. It integrates manifold regularization and multi-view regularization into the usual formulation of SVMs and is a natural extension of SVMs from supervised learning to multi-view semi-supervised learning. The function optimization problem in a reproducing kern...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2011
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e94.d.379