Sentence examples for transform the representation from inspiring English sources
As we obtain pathway activity and consistency scores for each pathway, we are able to transform the representation of each bio-sample from a list of gene expression measurements into a novel representation, displaying each sample with the collection of pathway activity and consistency scores.
DOI: http://dx.doi.org/10.7554/eLife.04580.003 > -wrap-foot> The information flow from the KCs to the MB output neurons (MBONs) has been proposed to transform the representation of odor identity to more abstract information, such as the valence of an odor based on prior experience (See discussion in Aso et al., 2014).
Our basic approach for generating similar problems in a RPS is to transform the representations of these models for a problem in the RPS.
Finally, the composer transforms the representation produced by the application-level mediator into network messages that can be sent to the other component.
Deep learning methods are representation learning methods with multiple levels of representation, obtained by composing simply but nonlinear modules that each transforms the representation at one level (starting with the raw input) into a higher representation slightly more abstract level, with the composition of enough such transformations, and very complex functions can be learned [1, 2].
While DWD and ComBat preserve the original representation of data, MRS, QD and disTran transform the data representation into discrete values.
To enrich the content of the subject index: we transform the structural representation into spreadsheets; derive new data; and, generate an RDF graph.
The specificity of the dopamine input and its ability to direct learning may therefore transform the unstructured KC representation of odor to an ordered MBON representation encoding behavioral bias.
The alignment of DAN axons with compartmentalized KC MBON synapses creates an isolated unit for learning that can transform the disordered KC representation into ordered MBON output.
Constructive induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities.
This yields the common CS optimization problem where x is a sparse representation of the data and A is a measurement operator that transforms the sparse representation to the data domain.
