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For a while now, there's existed a genre of journalism that takes a few studies, bundles them together, and creates a ridiculously broad, generalized portrait of a generation.
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The support vector (SV) algorithm is a nonlinear generalization of the generalized portrait algorithm proposed for the first time by Vapnik and Lerner (1963) and Vapnik and Chervonenkis (1964) in the 1960s.
They represent an extension to nonlinear models of the generalized portrait algorithm.
Color portrait of photographer, Cindy Sherman.
Results: The demographic data painted a portrait of economic disadvantage.
Graduation portrait of W.E.B.
Portrait of Yehuda Amichai.
Portrait of Karim Ben Khelifa.
Portrait of the artists.
Portrait of Foster Dwight Coburn.
Portrait of Amos Cruickshank.
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