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In this paper, based on mutual information theory, a new model for optimal waveform design in single-dependent interference is proposed.
Firstly, the coherent generators in each area of large EPS are determined by mutual information theory, which represents the dynamic equivalence.
To identify the nucleotides vital for Qrr function, we developed a method we call RSort-Seq that combines saturating mutagenesis, fluorescence-activated cell sorting, high-throughput sequencing, and mutual information theory to explore the role that every nucleotide in Qrr4 plays in regulation of two mRNA targets, luxR and luxO.
To test the independence of two components and, mutual information theory, as proposed by Shannon [22], can be used.
Mutual information theory is a very general indicator of critical transition, which incorporates all correlation effects and all nonlinear behaviour as well.
Indeed, the main advantage of the mutual information theory is that, with respect to the linear cross-correlation function, it is able to capture both linear and nonlinear relationships between the analyzed time series.
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AVANA has a built-in functionality to identify conserved, characteristic sites between subsets of sequences in an alignment using entropy and mutual information theories [17].
Using similar methods, we defined common information theory parameters including entropy and mutual information for common lab tests done concurrently or sequentially, without reference to a final diagnosis.
For reducing the computation complexity, mutual information (MI) theory is utilized to get the reduction feature set without compromising classification accuracy.
The initialization of the individuals is performed hybridizing clustering techniques with the mutual information (MI) theory to select the input variables.
Mutual information, based on information theory, can be a good candidate [19].
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