人类学家
发表于 2025-3-25 05:35:53
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使声音降低
发表于 2025-3-25 10:26:54
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变态
发表于 2025-3-25 12:29:11
Rosalba D’Onofrio,Elio Trusianior of explanations, we identify generic constructs for building stories out of events, and obtaining explanations by applying stories to specific examples. These generic constructs are then adapted to the particular explanation domain of probabilistic reasoning. Finally, we develop a visual notation for explaining probabilistic reasoning.
Feigned
发表于 2025-3-25 17:06:48
Rosalba D’Onofrio,Elio Trusianiterpretive overhead on deterministic parts of a model. We thus take advantage of the existing OCaml implementation to achieve competitive performance and ease of use. Inference algorithms can easily be embedded in probabilistic programs themselves.
hangdog
发表于 2025-3-25 22:13:38
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向下五度才偏
发表于 2025-3-26 00:23:22
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愉快么
发表于 2025-3-26 06:46:31
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雄伟
发表于 2025-3-26 10:09:47
Embedded Probabilistic Programmingterpretive overhead on deterministic parts of a model. We thus take advantage of the existing OCaml implementation to achieve competitive performance and ease of use. Inference algorithms can easily be embedded in probabilistic programs themselves.
unstable-angina
发表于 2025-3-26 13:25:37
Operator Language: A Program Generation Framework for Fast Kernelsewriting systems, a structural architecture model and empirical search, we automatically generate very fast C implementations for state-of-the-art multicore CPUs that rival hand-tuned implementations.
GEM
发表于 2025-3-26 20:14:29
Model-Driven Engineering from Modular Monadic Semantics: Implementation Techniques Targeting Hardwarmentations? This paper addresses this question and presents an overview of techniques for compiling monadic concurrency models directly into reasonably efficient software and hardware implementations. The implementation techniques described in this article form the basis of a semantics-directed approach to model-driven engineering.