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A Scalable Modular Convex Solver for Regularized Risk Minimization
Choon Hui Teo
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Oznake: computer science;data mining
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different regularizers. Examples include linear Support Vector Machines (SVMs), Logistic Regression, Conditional Random Fields (CRFs ...
Leto: 2007 Vir: videolectures.net
Št. zadetkov: 1
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