Sentence examples for refine feature from inspiring English sources

To refine feature selection, the FFS (Forward Feature Selection) procedure based on the result of IFS was used.

Several groups have developed methods to assess functional cohesion or refine feature selection by incorporating biological information from either the primary literature or curated databases [ 38, 48- 50].

Thus, the six subregions of size 128 × 128 which centroids are the six refined feature points are defined.

For each refined feature set, we retrained the Huber algorithm, and computed the break-even point of precision and recall for the resulting click-word model.

Sites devoted to big-ticket purchases — particularly cars, real estate and travel — are feverishly refining features and marketing strategies in an effort to attract the growing number of consumers searching the Web for buying advice.

It is very interesting to note that the plate model having all these refined features requires unknowns only at the reference plane.

Could it be that we have something like the evolution of the mammalian eye, where primitive existent eyes in other organisms suggest that selection can and does work on proto models (as it were), refining features which have the same function if not as efficient as more sophisticated models?

On the other hand, user calibration refers to the process of adding and/or refining features or training labels manually.

Since the dawn of RNA secondary structure prediction nearly two score years ago (Tinoco et al., 1973), the research community has proposed increasingly complex models and algorithms, hoping that refined features together with better methods to estimate their parameters would solve the problem.

So besides the integration of known biomarkers from the literature, fsCoP may also be used to further refine the feature subset selected by the existing feature selection algorithms.

We pose the widely used bag-of-visual-words (BoVW) [5] method as a neural network, which allows it to refine the feature extraction and clustering functions by backpropagating the classification error.