Sentence examples for maximum relevance and from inspiring English sources

In this article, we proposed a 3D facial expression recognition using maximum relevance and minimum redundancy face geometry features.

In this study, we used the Maximum Relevance and Minimum Redundancy (mRMR) feature selection method [36], [37] to rank 4378 features of each ORF considering both their relevance to translation rates and the redundancy among them.

Some feature selection techniques, including Minimum Redundancy Maximum Relevance and Incremental Feature Selection, were adopted to extract the key features.

Suppose G denotes the entire feature space; we aim to find a subset S of the features to satisfy both maximum relevance and minimum redundancy.

Feature subset selection is performed by using SVM-RFE (Support Vector Machine with recursive feature elimination), mRMR (minimum Redundancy Maximum Relevance) and IG (information gain).

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

The first term in the equation is the maximum relevance condition, and the second term is the minimum redundancy condition.

We combined features selection algorithm minimum redundancy maximum relevance (mRMR) and Support Vector Machines (SVMs) architectures to study the best features set for seizure prediction.

The key ideas of the method are the Maximum Relevance criterion and Minimum Redundancy criterion as meant by its name.

The mRMR program (http://penglab.janelia.org/proj/mRMR/index.htm) was then applied to prioritize the features according to the Maximum Relevance criterion and Minimum Redundancy criterion.

In addition, we propose an innovative feature selection algorithm, minimum redundancy maximum relevance (mRMR), and combine it with an ABC algorithm, mRMR-ABC, to select informative genes from microarray profile.