里程表 发表于 2025-3-21 17:13:59

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Cleave 发表于 2025-3-21 23:42:17

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Detain 发表于 2025-3-22 05:43:59

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一起平行 发表于 2025-3-22 12:28:25

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STYX 发表于 2025-3-22 14:45:28

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tackle 发表于 2025-3-23 03:16:10

https://doi.org/10.1007/978-1-4684-2550-5ers of the model. This posterior can be subsequendy used to probabilistically infer the range of parameters (through Bayesian interval estimates, in which we make predictive statements such as “the parameter . is in the interval with probability 0.95”), compute the parameters’ mean or mo

CHANT 发表于 2025-3-23 05:37:51

Perception of Landscape and Land Use,ead of approximate inference relies on the ability to simulate from the posterior in order to draw structures or parameters from the underlying distribution represented by the posterior. The samples drawn from this posterior can be averaged to approximate expectations (or normalization constants). I
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查看完整版本: Titlebook: Bayesian Analysis in Natural Language Processing; Shay Cohen Book 2016 Springer Nature Switzerland AG 2016