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- W2620621036 abstract "This paper presents the aGrUM framework, a C++ library providing state-of-the-art implementations of graphical models for decision making, including Bayesian Networks, Influence Diagrams, Credal Networks, Probabilistic Relational Models. This is the result of an ongoing effort to build an efficient and well maintained open source cross-platform software, running on Linux, MacOS X and Windows, for dealing with graphical models. The framework also contains a wrapper, pyAgrum, for exploiting aGrUM within Python." @default.
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- W2620621036 date "2017-01-01" @default.
- W2620621036 modified "2023-10-03" @default.
- W2620621036 title "aGrUM: A Graphical Universal Model Framework" @default.
- W2620621036 cites W2554014809 @default.
- W2620621036 doi "https://doi.org/10.1007/978-3-319-60045-1_20" @default.
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