Sentence examples for model to score from inspiring English sources

Using these relations, we extend our document profile model to score the candidate terms.

Wen was the first Chinese model to feature in the Victoria's Secret show, while Smalls became the first Hispanic model to score the lucrative Estée Lauder campaign.

Outside cryptocurrency and a few tools that enable better trading decisions, most of these startups developed a proprietary model to score the credit risks of potential customers and paired it with a clever go-to-market strategy that will appear to a new class of debt holders.

A third approach, known as inverse Quantitative Structure Activity Relationship (inverse QSAR), tackles the problem from a different angle: rather than first generating a virtual library and then using a QSAR model to score and search this library, inverse QSAR aims to map a favourable region in terms of predicted activity to the corresponding molecular structures [8 10].

Kelley and Ideker [1] proposed a between-pathway model to score the compensatory relationship between pathways in a probabilistic framework.

DEMON relies on a hidden Markov model to score the appearance of sequence motifs, taking into account all potential sites in a promoter of potentially varying binding affinities.

This approach, termed targeted cross-linking mass spectrometry (TX-MS), relies on computational structural models to score sets of targeted cross-linked peptide signals acquired using a combination of mass spectrometry acquisition techniques.

These labeled storylines were used as training data to build models to score storylines of a sixth fashion brand (referred to as Brand X) in order to score Brand X's perception.

We performed a simple but complete evaluation of the family models presently available in Rfam, comparing scores obtained from the covariance models to scores from plain sequence models generated from the same sequence alignments (data not shown).

While the actual numbers may vary, you're often in the same "risk range" from credit score model to credit score model.

These cutoff values are estimated while fitting the time-response model to the scores [ 22].