Sentence examples for techniques to leverage from inspiring English sources

There, he led the successful effort by Terry McAuliffe to use advanced, data-driven targeting techniques to leverage shifting demographics in Virginia for the most possible votes.

This article is the first one to examine the CC algorithm for protein function prediction using semi-supervised learning and multi-label learning techniques to leverage the unlabeled portion of the data and label correlation information in the partially-labeled PPI network, which only has limited number of annotations.

If the performance is on par with the supervised methods, then we can benefit from unsupervised technique to leverage the performance of the supervised methods.

Semi-supervised learning techniques try to leverage the intrinsic information in unlabeled instances to improve classification models.

This paper describes techniques used to leverage high-performance legacy codes as CORBA components to a distributed problem-solving environment.

This review provides a detailed comparison of current human variant resources, including HGMD, OMIM, ClinVar, and UniProt/Swiss-Prot, followed by an overview of the computational methods and techniques used to leverage the available data to predict novel deleterious variants.

To facilitate the generation of such reporter constructs from C. elegans fosmid clones we [ 5, 6], and others [ 7- 9], have developed tools and techniques designed to leverage the power of recombineering.

ASReml uses PQL to fit GLMM and has the nice property of using sparse matrix techniques to calculate the leverages h i.

Also, Hinkelmann et al.'s (2011) note that the algebraic techniques they seek to leverage sometimes have serious weakness of their own, such as an inability to scale to realistic model sizes.

Currently few efforts have been undertaken to leverage such techniques to help neuroscientists in their scholarly research [for examples of such work, see 37,38], although the array of available methods continues to grow.

The key for our power saving technique is therefore to leverage users context, behaviors, and habits to predict the running applications and improve upon the default energy management policies of the OS.