Sentence examples for information about the patterns from inspiring English sources

Pair-wise genome comparisons offer new sources of information about the patterns and processes that influence genomic designs.

Furthermore, the dependence of the correlation of fitness effects on mutational distance contains interesting information about the patterns of epistasis.

With the single-pixel camera, by contrast, a separate computer recombines information about the light levels with information about the patterns of the micromirrors to create an image.

Associative memories are brain-style devices designed to store a set of patterns as stable equilibria such that the stored patterns can be reliably retrieved with the initial probes containing sufficient information about the patterns.

In this histogram, a description of the face on three different levels of locality exists: the labels for the histogram contain information about the patterns on a pixel level, the labels are summed over a small region to produce information on a regional level, and the regional histograms are concatenated to build a global description of the face.

The key idea behind the algorithm is that a node tries to infer the existence of attacks by combining information on its own traffic and on the perceived state of its neighbors, without knowing if its neighbors are under attack or not and without being able to analyze any direct information about the patterns in traffic its neighbors experience.

The results of this preliminary survey have provided basic information about the practice patterns of certified practitioners.

While the correlations indicate similarities between the rank orders of scores assigned to the children by the informants, the mean differences and cross-tabulation yield information about the pattern of findings (e.g. which informant is reporting fewer or greater problems) [ 25].

As he pulled out various pieces, Ms. Rubenstein offered information about the pattern or the weaver.

Most applications of machine learning (ML) algorithms to control chart pattern recognition (CCPR) have focused on pattern detection and identification, rather than obtaining more detailed information about the pattern, which is important for effective assignable cause analysis.

Specifically, the possible high angular resolution of 1∘ or less, forms the basis for more precise investigations of pattern details which potentially comprises more complex information about the pattern-anisotropy-forming processes, their superposition and interaction.