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- W2779492024 abstract "In probability theory, as well as in other alternative uncertainty theories, the existence of efficient processes for the multidimensional model construction is a basic assumption making the application of the respective theory to practical problems possible. Most of the approaches are based on the idea that a multidimensional model is set up from a great number of smaller parts representing pieces of local knowledge. Such a process is called knowledge integration. In the probabilistic framework, it means that a multidimensional probability distribution is aggregated from a number of low-dimensional (possibly conditional) ones." @default.
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- W2779492024 date "2017-12-20" @default.
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- W2779492024 title "Combination and Composition in Probabilistic Models" @default.
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- W2779492024 doi "https://doi.org/10.1007/978-3-319-73150-6_9" @default.
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