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Minimum Divergence Methods in Statistical Machine LearningFrom an Information革新 发表于 2025-3-22 02:27:58
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Book 2022 of such minimization procedures such that a right triangle is kept with Pythagorean identity in the sense of the KL divergence. This understanding sublimates a dualistic interplay between a statistical estimation and model, which requires dual geodesic paths, called m-geodesic and e-geodesic pat别炫耀 发表于 2025-3-22 11:28:42
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Springer Japan KK, part of Springer Nature 2022联想记忆 发表于 2025-3-22 22:15:12
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Shinto Eguchi,Osamu KomoriProvides various applications including boosting and kernel methods in machine learning with a geometric invariance viewpoint.Facilitates a deeper understanding of the complementary relation between s