Incise 发表于 2025-3-25 05:10:58

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手铐 发表于 2025-3-25 10:00:03

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拘留 发表于 2025-3-25 12:47:27

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增长 发表于 2025-3-25 17:37:23

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寄生虫 发表于 2025-3-25 23:56:41

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制定法律 发表于 2025-3-26 03:54:34

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侵蚀 发表于 2025-3-26 05:05:12

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围巾 发表于 2025-3-26 09:20:19

A Universal Approximator Network for Predicting Conditional Probability Densities,itecture can deal with both stochastic and determinstic processes. Two variants, the derivative-of-sigmoid mixture (DSM) and the Gaussian mixture (GM) networks are presented, and their relation to a stochastic kernel expansion is noted. The chapter concludes with a comparison between these models an

colony 发表于 2025-3-26 13:13:15

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Sleep-Paralysis 发表于 2025-3-26 20:42:42

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查看完整版本: Titlebook: Neural Networks for Conditional Probability Estimation; Forecasting Beyond P Dirk Husmeier Book 1999 Springer-Verlag London Limited 1999 al