Sentence examples for representations implemented from inspiring English sources

Representations implemented in neural networks (as discussed above) compose a system that corresponds to important distinctions in the external environment, are not explicitly represented as such within the input corpus, and allow the trained network to respond to inputs in a fashion that continually reduces error.

The distances (relative p-distances) were used to construct three-coordinate ternary representations (implemented in EverEST) for cross-species comparisons to visualize species-specific genes as outliers.

Taken together, our results suggest that while the MTL may sustain relatively coarse codes of individual scenes, the hippocampus supports more complex and distinct scene-specific representations, implemented through its ability to rapidly form sparse conjunctive codes from incoming input patterns (i.e., from upstream MTL cortices; Cohen and Eichenbaum, 1993).

We did not attempt in this report to indicate explicitly the intracellular orientation of the multiple domains of enzymes in the enhanced pathway representations implemented in the prototype Populus PGDB; our assignment of sub-cellular localization of enzymes in pathway diagrams was intended to portray the site of catalytic activity.

In a nutshell, SIFT features of an image are detected at different scales using a scale-space representation implemented as an image pyramid.

Finally, the sequence representation implemented in MICA (Stokes and Glick, 2006) could allow for a space efficient way to store database indices for smaller values of k [Stokes and Glick (2006) state k=7 as the effective upper limit for k].

For a start, hold them to account where they have pledged to do good: rolling back Conservatives measures; ensuring that electoral reform means proportional representation; implementing an inquiry on missing and murdered Indigenous women and the UN declaration on rights of Indigenous peoples.

Partial representation is implemented for chromosome representation.

This model is founded on two principles: (1) stimuli is represented internally by two representations with different degrees of complexity and accuracy, and (2) the matching of these representations is implemented by a distance function.

However, how these time representations are implemented in the human brain has remained unknown to date.

The algorithm implementation makes use of a computing environment that uses the parallel distributed computing message passing interface (MPI) and specialized vector-matrix class representations, as implemented in the third-party software package, OOPS.