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Titlebook: Applications of Uncertainty Formalisms; Anthony Hunter,Simon Parsons Book 1998 Springer-Verlag Berlin Heidelberg 1998 Extension.Fuzzy Cont

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31#
發(fā)表于 2025-3-26 22:28:37 | 只看該作者
32#
發(fā)表于 2025-3-27 04:56:22 | 只看該作者
33#
發(fā)表于 2025-3-27 06:51:19 | 只看該作者
A local handling of inconsistent knowledge and default basesot be obtained if a global stratification is used. In each part, we provide a comparative study with existing inconsistency-handling approaches and with various default reasoning systems, respectively.
34#
發(fā)表于 2025-3-27 13:15:17 | 只看該作者
35#
發(fā)表于 2025-3-27 16:24:03 | 只看該作者
36#
發(fā)表于 2025-3-27 19:04:14 | 只看該作者
Energy Efficient Microwave Systemsaphical formalism for representing Decision-Theoretic Planning problems, called Influence View. This method will be tested in an important therapy planning problem: the assessment of the Graft Versus Host Disease prophylaxis after Bone Marrow Transplantation in leukemic children.
37#
發(fā)表于 2025-3-28 01:34:51 | 只看該作者
38#
發(fā)表于 2025-3-28 04:10:18 | 只看該作者
https://doi.org/10.1007/978-3-319-29495-7 from agent’s a priori knowledge about the application domain. A possible-world semantics of the logic is developed by using the accessibility . and the soundness and completeness results are stated. The abstract syntax and semantics are illustrated and motivated by an example from the medical domain.
39#
發(fā)表于 2025-3-28 07:20:21 | 只看該作者
Using Uncertainty Management Techniques in Medical Therapy Planning: a Decision-Theoretic approachaphical formalism for representing Decision-Theoretic Planning problems, called Influence View. This method will be tested in an important therapy planning problem: the assessment of the Graft Versus Host Disease prophylaxis after Bone Marrow Transplantation in leukemic children.
40#
發(fā)表于 2025-3-28 10:45:58 | 只看該作者
Background to and Perspectives on Possibilistic Graphical Modelsthe background and perspectives of probabilistic and possibilistic graphical models, and give an overview on the current state of the art of possibilistic networks with respect to propagation and learning algorithms, applicable to data mining and data fusion problems.
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