召集会议
发表于 2025-3-21 18:07:41
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充气女
发表于 2025-3-21 22:37:27
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大火
发表于 2025-3-22 04:15:13
Application of the Maximum (Information) Entropy Principle to Stochastic Processes far from Thermale process is Markovian. From the propagator, the Fokker-Planck equation can be derived. The Lagrange parameters that are used in the maximum information entropy principle can be derived by minimizing the Kullback information.
hankering
发表于 2025-3-22 05:04:28
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CIS
发表于 2025-3-22 12:14:19
Geometric Ideas in Minimum Cross-Entropy,e first approach is to regard the method as a projection based on an analogue of Pythagoras’ Theorem. The second is to regard the set of probability distributions as a differentiable manifold and to introduce a Riemannian geometry on this manifold. The third uses the idea of Hausdorff dimension to s
强有力
发表于 2025-3-22 13:20:39
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强有力
发表于 2025-3-22 18:26:34
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Jacket
发表于 2025-3-23 00:03:17
Minimum Mean Deviation from the Steady-State Condition in Queueing Theory, probability distributions for the number of arrivals, interarrival time, or/and service time by minimizing the mean chi-square deviation from the corresponding steady-state probability distributions subject to given constraints represented by generalized moments or generalized mixed moments induced
气候
发表于 2025-3-23 02:22:45
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你敢命令
发表于 2025-3-23 08:36:20
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