gloomy 发表于 2025-3-21 18:48:57

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BATE 发表于 2025-3-21 21:16:28

Conclusion,raints. It spanned many important generative models allowing us to learn their parameters discriminatively. Other extensions were feasible beyond binary classification and an important iterative formulation for latent variables also emerged. MED thus provided a principled fusion of discriminative an

修饰 发表于 2025-3-22 00:57:45

Book 2004derstandable to a larger portion of the public. This gives the more practical-minded engineer, student and the industrial public an easy-access and more sensible road map into the world of machine learning. ..Machine Learning: Discriminative and Generative. is designed for an audience composed of re

多产子 发表于 2025-3-22 06:59:26

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繁殖 发表于 2025-3-22 12:01:44

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right-atrium 发表于 2025-3-22 15:43:16

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持续 发表于 2025-3-22 19:22:11

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Meager 发表于 2025-3-22 21:17:46

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CON 发表于 2025-3-23 05:16:14

Introduction,he question: is there a powerful connection between generative and discriminative learning that combines the complementary strengths of the two approaches? In this text, we undertake the challenge of building such a bridge and explicate a common formalism that spans both schools of thought.

Bmd955 发表于 2025-3-23 08:24:30

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查看完整版本: Titlebook: Machine Learning; Discriminative and G Tony Jebara Book 2004 Springer Science+Business Media New York 2004 Extension.computer science.learn