Sentence examples for maximum relevance with from inspiring English sources

A "good" feature is characterized by maximum relevance with the target variable and minimum redundancy within the features.

They chose genes with maximum relevance with respect to the class variable and the maximum positive interaction between different genes.

We also selected genes with maximum relevance with respect to the class variable (i.e., the depended degree of a single gene), while we chose gene pairs with maximum relevance with respect to the class variable rather than maximum positive interaction between the genes, since the maximum positive interaction between two genes may counteract the depended degree of a single gene.

First, the Maximum Relevance and Minimum Redundancy (mRMR) [ 9] method was applied to select the genes that has both maximum relevance with the cancer stages and minimum redundancy to each other.

They supplement the maximum relevance criteria along with minimum redundancy criteria to choose additional features that are maximally dissimilar to already identified ones.

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

The MRMR method (Ding and Peng, 2005) tries to address this limitation by adding features with maximum relevance and minimum redundancy.

In our study, we used the minimum redundancy maximum relevance (mRMR) method combined with incremental feature selection (IFS) to select the optimal features, which not only reduced the dimension of the features but also improved the performance of the predictor.

Considering the successful application on several classification researches [ 34– 42] by using the minimum redundancy Maximum relevance (mRMR) method combining with incremental feature selection (IFS) method, the mRMR-IFS was used in this research to select the prominent features that distinguish the RNA-binding proteins from nonbinding ones.

One example is MRNET [ 26], which applies the maximum relevance/minimum redundancy (MRMR) [ 27] principle to rank the set of transcription factors according to the difference between mutual information with the target transcript (maximum relevance) and the average mutual information with all the previously ranked transcription factors (minimum redundancy).

SU lists the ranked 256 features with the maximum relevance to the class of samples.