Sentence examples for minimum relevance from inspiring English sources

Specifically, something Apple calls the "minimum relevance threshold".

The use of transmit head or knee coils may produce different results, while the choice of the receive coil seems of minimum relevance in this context.

AUC, area under the receiver-operating characteristic curve; DREAM, Dialogue for Reverse Engineering Assessments and Methods; GENIE, Gene Network Inference with Ensemble of Trees; MRNET, Minimum Redundancy/Maximum Relevance Networks; RN, Relevance Networks; SIRENE, Supervised Inference of Regulatory Networks.

The methods proposed by Ding and Peng, (2005 ), uses a minimum redundancy maximum relevance (MRMR) feature selection framework.

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

The mRMR (minimum redundancy maximum relevance) method [ 11] selects genes that have the highest relevance with the target class and are also minimally redundant, i.e., selects genes that are maximally dissimilar to each other.

Ding and Peng [ 20] proposed a method called MRMR (Minimum Redundancy Maximum Relevance) which finds a subset of genes which has minimum redundancy and maximum relevance to class, simultaneously.

As an improvement, the Minimum Redundancy Maximum Relevance (MRMR) criterion was proposed [ 14] with various criteria for measuring the relevance of a given variable and redundancy within the set of selected key variables.

To circumvent this, we invoked the maximum relevance minimum redundancy (mRMR) model to aid in selecting the most relevant features in terms of class discrimination and the most compact or non-redundant features to represent the face mesh models.

The minimum redundancy maximum relevance (mRMR) method [38] considered this problem, and it selects features that have the highest relevance with the target class and are also minimally redundant.

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