Sentence examples for models with superior from inspiring English sources
"Compared to last year, we'll be very much focused on models with superior picture quality and large sizes".
The main reasons for the healthy sales in November were the same ones that had driven the overall industry this year — the need to replace aging cars on the road and the steady supply of fresh, new models with superior fuel economy.
The inclusion of inactive data for model training produces models with superior AUC and improved early recognition capabilities, although the results from internal and external validation of the models show differing performance between the breadth of models.
The methods described here enable a wide range of genome-engineering applications in hPSCs, thus providing a valuable resource for the creation of diverse hPSC-based disease models with superior speed and ease.
The temporal and external validation showed that pairwise coupling of dichotomous models resulted in models with superior discrimination compared to true polytomous models.
This also indicates that the regularized algorithm not only obtain models with superior interpretation potential, but also an improved stability with respect to classification of new samples.
Then, a probability model is built for describing the probability distribution of the solution space, and a mechanism is provided to update the probability model with superior individuals.
What's more, a neural network synthetic evaluation model with superior in self-learning ability and computing power is proposed by improving the fuzzy evaluation model.
We obtain a model with superior data fit in the human liver cancer HepG2 and propose potential missing pathways.
Bayesian networks are ideal for combining these features into a predictive model with superior accuracy and transparency compared to the only other proposed stability predictor.
It was hypothesized that maximizing population size, thus creating more recombination events for increased resolution, would always produce a model with superior prediction accuracies on progenies several generations removed from the training population.
