ornithology
发表于 2025-3-25 05:21:49
An Introduction to Nested SamplingIn particular, enumerating some of the distinctions that can be supported by a qualitative probability language induces a partial taxonomy of possible approaches. I discuss some of these in further depth, identify central issues, and suggest some general comparisons.
有花
发表于 2025-3-25 08:13:11
http://reply.papertrans.cn/15/1485/148485/148485_22.png
FLING
发表于 2025-3-25 12:15:35
The Strategy of Nested Samplings combination, marginalization, conditioning and integration are considered for probability intervals. Moreover, the relationships of this theory with some others, as lower and upper probabilities and Choquet capacities of order two are also clarified. The advantages of probability intervals with re
听觉
发表于 2025-3-25 17:07:12
An Introduction to Nested Samplingl probability bounds defined on . is considered. Following the approach of de Finetti we define the concept of coherence for the given set of bounds. Then, some results on the probabilistic consistency of the knowledge base are obtained. Finally, an algorithm to check the coherence of the set of bou
尊敬
发表于 2025-3-25 22:02:16
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/148485.jpg
Dedication
发表于 2025-3-26 00:56:24
http://reply.papertrans.cn/15/1485/148485/148485_26.png
B-cell
发表于 2025-3-26 05:35:21
https://doi.org/10.1007/978-3-030-02459-8We introduce a methodology for performing approximate computations in complex probabilistic expert systems, when some components can be handled exactly and others require approximation or simulation. This is illustrated by means of a modified version of the familiar ‘chest-clinic’ problem.
胆小鬼
发表于 2025-3-26 11:29:24
Classical Statistical MechanicsIn this paper, decision influence diagrams are studied when the assessment of utilities with real numerical values is considered to be too restrictive, and the use of fuzzy sets to model the problem in terms of fuzzy utilities seems appropiate. An algorithm to solve decision influence diagrams with fuzzy utilities is suggested.
Malaise
发表于 2025-3-26 16:36:59
The Lagrangian-Hamiltonian Theory,usibility functions on hypotheses, which constitute the numerical part of evidence theory. Combination of evidence based on the combination of bodies of arguments is discussed and Dempster‘s rule is derived.
发展
发表于 2025-3-26 19:43:40
Distribution Functions of Dynamic Systemsed method allows us to change the structure of the Markov tree without changing any information contained in the nodes, thus avoids the possible repeated computations. Moreover, it can compute the marginal on any subset from the marginal representation already obtained. An efficient implementation of this method is also proposed.