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Goldman argues for treating this transmission on the model of inference within an individual agent.
Using these two models as a point of reference, we could compare subjects' performance with both a simple model, and a Bayes' optimal model of inference.
To calibrate the network, i.e. to estimate the parameters, we developed an innovative probabilistic model of inference of the rate coefficients [ 18].
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On the other hand, with accurate models this mode of inference can be very efficient (e.g., Magnussen 2015).
To bypass this step we propose a generic functional regression model (FRM) for use in both a design- and a model-based framework of inference.
However, as Davies and Egan themselves acknowledge, the application of idealised models of inference such as Bayesianism is somehow limited when we are considering actual belief systems.
Originating at University of Arizona during the early 1970s, the program's first contributions were the life-history framework, models of inference, principles for studying the formation processes of the archaeological record, and expansions of nomothetic research in experimental archaeology and ethnoarchaeology.
Dretske (1977, 261 262) and Armstrong (1983, 52 59, and 1991) adopt a model of inductive inference that involves an inference to the best explanation.
Although these systems de-identify the data by removing explicit identifiers (e.g., name, address, or Social Security number) and incorporate sound security design principles, they suffer from a lack of formal modeling of inferences learnable from shared data.
Time-lagged correlation based inference pairs up to a probabilistic model of parameter inference from metabolites time series allows the identification of the microscopic pharmacokinetics and pharmacodynamics of a drug with a minimal a priori knowledge.
Unlike in the most part of network inference techniques, in our approach a probabilistic model of parameter inference is part of the procedure of the identification of interconnection topology.
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