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Band selection is implemented on PC, where a server is responsible for selecting feature bands.
The significance of the proposed model is as follows: (1) feature selection is implemented on a reduced feature space, so that the dimension of optimal feature subset is smaller; (2) the fitness function in CBPSO algorithm optimizes the predicting performance and the correlation between features and target variable.
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Besides, another three models for detecting codons under selection are implemented on Datamonkey website [ 43]: SLAC, FEL and REL.
The network model without selection is implemented, for instance, in the neuron diagrams popularized by Lewis.
The common principle of avoiding competitive exclusion in SCM and MRM models is imposing group selection on the cooperative replicator set, but the two approaches differ in how group selection is implemented.
The mRMR feature selection was implemented based on the code downloaded from http://penglab.janelia.org/proj/mRMR/, and the top 20 characteristic features were selected.
For the downstream area, the switch indices for the best switch selection are implemented based on the first heuristic approach (switch index).
The correlation-based feature selection was implemented using a BestFirst search method on a CfsSubsetEval attribute evaluator.
Attribute selection i.e. InfoGainAttributeEval with Ranker algorithm is implemented on the content category of usability data.
Two likelihood ratio tests of positive selection were implemented using the codeml program [13], [37], [38].
The proposed algorithm is implemented on the GPU based on the Nvidia CUDA libraries and subsequently, this paper will provide details of the automatic baseline selection process.
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