Sentence examples for prior probabilistic from inspiring English sources

The influential framework of 'predictive processing' suggests that prior probabilistic expectations influence, or even constitute, perceptual contents.

With color information, we can compute the prior probabilistic distribution for tracked objects, for example, with a method based on particle filters [14].

The output of the MAP equalizer is used to produce prior probabilistic information on the encoded symbols, which is exploited by the MAP decoder.

In turn, the output of the MAP decoder is used to produce prior probabilistic information on the unequalized received symbols, which is again exploited by the MAP equalizer.

The output of each decoder is therefore used to produce prior probabilistic information about the input symbols of the other decoder, thus allowing this scheme to exploit the inherent structure of the code to correct errors with each iteration[11], achieving near Shannon limit performance in AWGN channels[1].

It is attractive for two reasons: first because it includes prior probabilistic information in the estimation, and second, because it provides soft posterior estimates regarding individual coded or uncoded symbols, which in turn can be used as prior information in subsequent iterations.

Further more, normalization can be implemented using the normalization constant n(cr ), which is constant for all transcripts of a given replicate and can be estimated prior to probabilistic modelling using, for example, a quantile-based method (Robinson and Oshlack, 2010) or any other suitable technique.

We construct an exact test for the non-inferiority of odds ratio based on the inferential model, which is a valid prior-free probabilistic inference method.

Despite the use of conjugate priors, the probabilistic assignment of reads to species involves the expansion of the likelihood into Kn terms which is computationally infeasible through direct computation.

Probabilistic assumptions are made about the (mathbb {M}) sources prior, and under probabilistic action a t assumptions see [19, 29, 30].

The schedule-based localization problem has been posed as an estimation problem with probabilistic prior information.