Sentence examples for model scoring and from inspiring English sources

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Three classifiers: Gaussian models (GMs), support vector machine (SVM), and feed-forward neural network (NN) are proposed to compartmentalize these high-level features, which are generated by n-gram language model scoring and parallel phone decoding.

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In this method, language model scores and acoustic model scores are combined during the search in a semi-coupled manner [50].

When the 17 gene/probe model score (and three of the other models) predicted a poorer outcome, there was a high likelihood that a PSA control would have a positive bone scan or CT beyond 5 years.

When the 17 gene/probe model score (and three of the other models) predicted a poorer outcome, the median overall survival of a SYS case from a positive bone scan or CT was 2.8 years (compared to 8.6 years with a better model score).

Model results may be visualized and interpreted using MVAPACK routines that provide scatter and line plots of model scores and loadings in a variety of forms.

The method uses a hidden Markov model (HMM) to identify candidate qnr fragments which are then further classified based on their model score and sequence length.

The participants are ranked according to the DIRECT-DETECT model scores, and the highest-ranking are invited to attend a screening examination.

There were no significant differences in lengths of hospital stays (hazard ratio from Cox regression, 1.005 when adjusting for the combined model score and admission method, 95% CI: 0.922 1.095, P = 0.91, based on the 2,436 admissions that occurred).

As data were in the form of a single value per nucleotide, we calculated the sum of model scores and then averaged these over the length of the nucleosomal segment under examination (always equaling 147 nucleotides), resulting in one value representing the mean in vitro model score for each genomic region (see Additional File 1).

The new Streams product pulls the data from your source and deals with data blending, streaming data analysis, and model scoring, processing all of this in Apache Storm clusters, and it does so without coding.

Demographic data, APACHE II score, SOFA score, ICNARC model score, mortality, and length of hospital stay prior to and after ICU admission were collected.

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