Sentence examples for prior weighting from inspiring English sources

To address concept variations, we proposed three variants of MIML approaches, i.e., We/Sp/Co-MIML, which consider the class prior weighting, sparse prediction, and co-training factors in MIML framework, respectively, for the first time.

For MLLR, the best results were obtained at a prior weighting factor of 10 (for MAP) and 32 regression classes with a three-block-diagonal transformation matrix (for MLLR).

The best result was obtained at a prior weighting factor of 10 (for MAP), a regression class tree with 32 base classes and three-block-diagonal transformation matrices (for MLLR).

No prior weighting for observational evidence uses an α of 0. The observational evidence is incorporated at its face value (equal prior weighting) with an α value of 1. Bayesian analysis allowed for such calculation by using observational evidence as the informative prior.

The results shed new light on the genomic architecture of trait-associated SNPs and may be useful to aid prioritization of associated variants for further study and as prior weighting for association studies.

Clearly, with increasing prior weight, noise decreases but quantitative accuracy deteriorates, irrespective of statistics, and hence, the prior weight should be as small as possible.

Another important aspect of IDM is the effects of prior weight [28] and type of filter.

Figure 2 shows relative bias after IDM with eight iterations for varying prior weights.

The larger the prior weight, the lower the chance of over-fitting.

Impact of the size of the prior weight on both low- and high-statistics frames.

The figure illustrates the increase in bias with increasing prior weight.