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Designers who, out of a total of 30 models, use only two who are black because, 'If it's more than two it becomes a Black Thing'.
Since the models use only a moderately large number of binary variables, they can be solved quite efficiently.
All created models use only five previously selected past load values as input.
The models use only relevant factors that help to increase performance and ignore data from other factors, thus also reducing the need for large morphosyntactically tagged training corpora.
While traditional (word-based) n-gram language models use only the basic word forms to estimate the probabilities of sentences, FLMs can use all defined factors and their information.
These IV models use only the part of the variation in skills that is determined before labor-market entry and is therefore unaffected by job-specific patterns of skill appreciation or skill decay.
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These bootstrap estimates allowed us to assess the potential value of many models using only the training data.
Our goal was to develop two frailty-based surgical risk models using only routine preoperative data.
But because any realistic device would need to accurately identify words heard the first time, he decided to test the models using only a single trial.
Experimental VLE data were compared with predictions from Wilson and NRTL models using only the constituent binary interaction parameters.
Linear discriminant analysis assisted networks (LDRBNN) resulted in preferred models, using only one latent variable for each of the analytes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com