Sentence examples for representation of probability from inspiring English sources

In combination with the representation of probability relations by claims in a quasilogical language, the limiting frequency interpretation creates fundamental formal problems that Reichenbach did not foresee.

Our approach establishes a novel link between graphical representation of probability measures and tensor factorization models that allow us to design arbitrary tensor factorization models while retaining simplicity.

In the case of two variable per component of equivalent model the following graph is generated as a representation of probability function as a part of safety function (Fig. 10).

The current finding of the relationship between probability and EANm response suggests a sensitive representation of probability of chord progression and extends the previous findings of the cortical sensitivity to probability to the musical syntax domain.

In a study of risk communication among medical inpatients aged 75 years and older, Fuller et al [ 17] found that pictorial representation of probability with human figures was better understood than simple verbal statements.

A key notion of DP is in a discrete representation of probability measure; G is decomposable via the sum of the Dirac measures δθ i at the infinite set of atoms θ i ∼ G0 (i = 1,…, ∞).

They underlie the representation of probabilities by real (initially: fractional) numbers from the interval between 0 and 1.

The MAP algorithm is likely to be considered of high complexity for hardware implementation in a real system basically because of the numerical representation of probabilities, non-linear functions, and mixed multiplications and additions of these values [27].

It should be kept in mind that the overwhelming majority of students had a very high probability of intention to complete and that thus the most reliable representation of probabilities can be found at the higher end of the intention to complete scale.

This is an important feature in stochastic computation as probabilistic values are propagated rather than deterministic ones, which results in inevitable random fluctuations in the representation of probabilities.

The approximation is conducted by using point mass representations of probability densities, which are called particles.