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pro vyhledávání: '"Akhalaya, Kseniya"'
Support Vector Machines (SVMs) are an important tool for performing classification on scattered data, where one usually has to deal with many data points in high-dimensional spaces. We propose solving SVMs in primal form using feature maps based on t
Externí odkaz:
http://arxiv.org/abs/2402.02438
