Sentence examples for whose probabilistic from inspiring English sources

The description of the equivalent functions belonging to a class is studied in depth for EDAs whose probabilistic model is given by a chordal Markov network.

Examples concern Helmholtz and Poisson equations, whose probabilistic treatment presents additional complications with respect to the case of homogeneous elliptic problems without any potential term and source.

We introduce a general process designed to model stochastic systems in which the dependence of random variables is not through addition only but combined addition and subtraction with bounded ranges, and whose probabilistic factors have compact support.

On the literal-minded interpretation, their significance is that they show that those whose degrees of belief violate the probability laws or those whose probabilistic inferences predictably violate a principle of conditionalization are liable to enter into wagers on which they are sure to lose.

However, for De Finetti the representation theorem provided a reason for doing away with statistical hypotheses altogether, and hence for the removal of a notion of probability as anything other than subjective opinion (cf. Hintikka 1970): hypotheses whose probabilistic claims could be taken to refer to intangible chancy processes are superfluous metaphysical baggage.

In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of uncertainty whose complete probabilistic description is not available, largely due to our lack of knowledge about the uncertainty.

The material and strength properties in the individual laminae are modeled as 2-D non-Gaussian random fields whose second order probabilistic characteristics are determined from test data.

The implication is that it equally values a guaranteed payoff of $21 with any set of probabilistic payoffs whose expected value is also $21.

The term evolutionary algorithm is used to refer to any probabilistic algorithm whose design is inspired by evolutionary mechanisms found in biological species.

The uncertain parameters with limited data can be modeled as interval probabilistic variables whose distribution parameters are expressed as interval variables instead of unique values.

Many tasks require evaluating a specified Boolean expression φ over a set of probabilistic tests whose costs and success probabilities are each known.