Sentence examples for model training based from inspiring English sources

Embedded methods perform feature selection in the process of model training based on sparsity regularization [64, 65, 66, 67].

The proposed methods can be also applied as potential tools for the detection of future anomalies by model training based on currently available data.

We found that the HSL model trained based on yeast achieved comparable accuracy in predicting TRRs in other species, thus demonstrating the conservation of TRRs across species.

The HSL model trained based on yeast achieved comparable accuracy in predicting TRRs in other species, e.g., fruit fly, human, and rice, thus demonstrating the conservation of TRRs across species.

It is remarkable to observe that the vocabularies defined by S. cerevisiae were conserved across species such that the model trained based solely on S. cerevisiae can be applied to other species with similar accuracy.

The conclusion is further supported by the successful application of the HSL model (trained based on S. cerevisiae) to identify TRRs of several genes in Homo sapiens, Arabidopsis thaliana, and Oryza sativa L. p53 is a vital transcription factor which regulates the expression of genes involved in a variety of cellular functions, such as apoptosis, cell cycle arrest, and DNA repair [ 31].

This work tackles such a problem through a discrete time recursive neural network formulation, identifying compact models through a training based on input output data obtained from high-fidelity simulations of the aerodynamic problem alone.

Model training was based on training data only.

The similarity of these results could be attributed to the training model used, ie, resistance training based on a series of maximal repetitions.

We examine the training at the Infectious Diseases Institute (IDI) as a model for in-country training based on systems capacity building and attention to the academic environment.

Herein, we examine the training at the Infectious Diseases Institute (IDI) as a model for in-country training based on systems capacity building and attention to the academic environment.