是限制
发表于 2025-3-23 12:48:23
Priors for Infinite Networks,r hidden-to-output weights results in a Gaussian process prior for functions,which may be smooth, Brownian, or fractional Brownian. Quite different effects can be obtained using priors based on non-Gaussian stable distributions. In networks with more than one hidden layer, a combination of Gaussian and non-Gaussian priors appears most interesting.
心胸开阔
发表于 2025-3-23 15:03:36
Monte Carlo Implementation,t hybrid Monte Carlo performs better than simple Metropolis,due to its avoidance of random walk behaviour. I also discuss variants of hybrid Monte Carlo in which dynamical computations are done using “partial gradients”, in which acceptance is based on a “window” of states,and in which momentum updates incorporate “persistence”.
腐烂
发表于 2025-3-23 20:07:09
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控诉
发表于 2025-3-23 22:17:09
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冷峻
发表于 2025-3-24 06:07:51
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带来
发表于 2025-3-24 08:04:25
Lecture Notes in Statisticshttp://image.papertrans.cn/b/image/181856.jpg
FIN
发表于 2025-3-24 11:20:54
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Precursor
发表于 2025-3-24 18:35:09
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rods366
发表于 2025-3-24 22:19:32
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GEON
发表于 2025-3-25 03:06:24
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