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- W4300463449 abstract "This paper addresses the tradeoffs which need to be considered in reasoning using probabilistic network representations, such as Influence Diagrams (IDs). In particular, we examine the tradeoffs entailed in using Temporal Influence Diagrams (TIDs) which adequately capture the temporal evolution of a dynamic system without prohibitive data and computational requirements. Three approaches for TID construction which make different tradeoffs are examined: (1) tailoring the network at each time interval to the data available (rather then just copying the original Bayes Network for all time intervals); (2) modeling the evolution of a parsimonious subset of variables (rather than all variables); and (3) model selection approaches, which seek to minimize some measure of the predictive accuracy of the model without introducing too many parameters, which might cause overfitting of the model. Methods of evaluating the accuracy/efficiency of the tradeoffs are proposed." @default.
- W4300463449 created "2022-10-03" @default.
- W4300463449 creator A5068963019 @default.
- W4300463449 date "2013-03-06" @default.
- W4300463449 modified "2023-10-05" @default.
- W4300463449 title "Tradeoffs in Constructing and Evaluating Temporal Influence Diagrams" @default.
- W4300463449 doi "https://doi.org/10.48550/arxiv.1303.1458" @default.
- W4300463449 hasPublicationYear "2013" @default.
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