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The first term in the equation is the maximum relevance condition, and the second term is the minimum redundancy condition.
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More specifically, to identify the most important features regulating translation rates under different conditions, we applied maximum relevance & minimum redundancy and incremental feature selection to select the important features for predicting the translation rate in rich and starvation conditions, respectively.
The Minimum Redundancy Network (MRNet) relies on the conditional mutual information to make inference.
MRMR, known as Minimum Redundancy Maximum Relevance, however, attempts to detect those redundant subsets, find them out, and delete them.
Minimum redundancy array.
The sequential forward selection, genetic and maximum relevance minimum redundancy algorithms are used for a precise selection of features.
So, a method based on the Minimum Redundancy Linear Array was then adopted.
We considered that each encoder has an extra output (minimum redundancy).
Minimum redundancy arrays (MRAs) and minimum hole arrays (MHAs) are two common classes of nonuniform linear arrays [6 9].
The minimum redundancy criteria are introduced to remove the redundancy among features: underset{S}{ min}frac{1}{left|Sright|^2}{displaystyle sum_{f_i,{f}_jin S}Ileft({f}_i,{f}_jright)} (16).
This paper proposes real linear transceivers employing minimum redundancy, unlike the standard block transceivers that require, at least, L elements of redundancy, where L is the channel order.
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