Sentence examples for maximum relevance from inspiring English sources

Using mRMR method, we ranked and analyzed the top 500 relevant features to translation rate with Maximum Relevance Minimum Redundancy method.

The sequential forward selection, genetic and maximum relevance minimum redundancy algorithms are used for a precise selection of features.

Then the features are carefully selected by mRMR (minimum Redundancy Maximum Relevance Feature Selection) and IFS (Incremental Feature Selection) methods.

Placecast then analyzes inventory, segments audiences and targets ads for maximum relevance for advertisers and publishers.

Placecast will analyze inventory, segments audiences and targets ads for maximum relevance for advertisers and publishers.

This scheme, termed as minimum-redundancy-maximum-relevance selection [42], has been found to be more powerful than the maximum relevance selection.

As a widely used feature selection method, Minimum Redundancy-Maximum Relevance (mRMR) [14] is designed to select features that best classify the target variable.

One of them is the so-called minimum redundancy-maximum relevance (MRMR).

Ding and Peng proposed the minimum Redundancy-Maximum Relevance (mRMR) method in 2005 [ 16], which requires that selected discriminative features are maximally dissimilar to each other.

This has been called maximum-relevance selection.

Then, a subset of features is selected based on minimum-Redundancy Maximum-Relevance (mRMR) method [14] for classification (Fig. 3d).