时间 发表于 2025-3-21 16:24:31

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合乎习俗 发表于 2025-3-21 21:36:39

Minimum Divergence Methods in Statistical Machine LearningFrom an Information

革新 发表于 2025-3-22 02:27:58

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并排上下 发表于 2025-3-22 07:29:06

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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使坚硬 发表于 2025-3-22 14:15:29

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冥界三河 发表于 2025-3-22 17:14:41

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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词汇表 发表于 2025-3-23 03:00:12

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Dislocation 发表于 2025-3-23 07:19:00

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
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查看完整版本: Titlebook: Minimum Divergence Methods in Statistical Machine Learning; From an Information Shinto Eguchi,Osamu Komori Book 2022 Springer Japan KK, pa