Sentence examples for computational training from inspiring English sources

Thus, collaboration with modelers is necessary, and, hence, it will be important to work with individuals with mixed biological, mathematical, and/or computational training, who can serve as conduits between the white-board, the computing cluster, and the wet-bench.

Methods of improving both the computational training maneuver and the reduced order modeling approach are suggested.

Faculty members with expertise in these areas are often spread across departments and colleges, making it difficult to provide comprehensive computational training and recruit new students, Ferguson says.

Thus, the numerous energy-consuming training data as well as the computational training algorithm can be avoided, leading to a competitive low-power USCS receiver.

It is shown that in both cases embedding the invariance property into the input features yields higher performance at significantly reduced computational training costs.

FlyVar permits the analysis of next generation sequencing data without the need of extensive computational training or resources.

The paper describes an ontology-based methods and framework for design of learning courses covering the HPC and Big Data areas and how to include these into Computational Science training within the remit of existing courses of Master Programme entitled "Applied Mathematics and Computer Science" (Faculty of Mechanics and Mathematics, Perm State University, Russia).

Furthermore, the two phases of SSEM-Lasso allow for modifications of both experimental variables (testing phase) and computational variables (training phase) to optimize drug target predictions.

http://dx.doi.org/10.13039/100000001 National Science Foundation NSF Graduate Research Fellowshipip to Jonathan P Newman, Ming-fai Fong, Daniel C Millard. http://dx.doi.org/10.13039/100000002 National Institutes of Health (NIH) Computational Neuroscience Training Grant (1T90DA032466) to Clarissa J Whitmire.

The project described was supported in part by award number RC2GM092501 from the National Institute of General Medical Sciences, NIH, to J.M.C., and an NIH Bioinformatics and Computational Biology training grant T32 GM082729 to A.B.A.

SNAP (Screening for Non-Acceptable Polymorphisms) is a neural-network based computational tool trained on a large set of mutation data, including PMD data, that performs well in distinguishing neutral from non-neutral amino acid substitutions [6].