Approaches that use these data to reconstruct the network of genetic regulation and to define its parameters include approaches that use Bayesian networks [ 17- 20] and ones based on mutual information [ 21, 22].
However, FBCSP-based methods involve feature selection procedures based on mutual information, which require tedious iterative steps that greatly increase their complexity.
In this study, we investigated the utility of an alternative network construction approach based on mutual information in network-based Cox regression.
However, correlation coefficients fail to capture more complex statistical dependencies (e.g. non-linear ones) between expression patterns, and thus more general measures of dependency based on mutual information (MI), have been proposed.
A criterion based on mutual information is proposed for selecting a sensitive IMF.
This strategy has gained popularity resulting a variety of criteria based on mutual information.
Then, each produced wavelet component is filtered by two stage feature selection based on mutual information.
We further estimate the relevance of these projections to speech discrimination based on mutual information to the target class.
In addition, a fine-tuning mechanism to update the population (based on mutual information) is designed and embedded in the feature selection process to speed up convergence.
The mRMR pruning measure is based on mutual information and is a composite criterion of classifier redundancy and relevance with regard to the selected classifier set.
In this paper, based on mutual information theory, a new model for optimal waveform design in single-dependent interference is proposed.
