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Another method similar to RN is CLR (Context Likelihood of Relatedness) [ 23] which employs a background sensitive estimator for the connection among genes by converting mutual information estimates into z-score like values.
In general, since the effect of adding an additional promoter leads to only a small increase in I the effect is difficult to measure precisely given the error in our mutual information estimates.
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First, we examined how well the mutual information estimated from the decoding approach matched the actual mutual information.
Therefore, with regard to the positions of and relationship between the peaks, the mutual information estimated from the SVM classifiers provides a reliable answer.
Here we extended a discriminative training method that was originally developed for speech recognition: the maximum mutual information estimate (MMIE; Gopalakrishnan et al., 1991).
Mutual Information (MI) estimates the reduction of uncertainty about the acoustic ' stimulus' that is obtained from the knowledge of a single trial of neural response.
In this paper, the statistical dependence between random variables is quantified by mutual information and estimated using a k nearest neighbor based approximation.
The independence assumption provides this additional information, and one tries to design a reverse transformation by minimising the mutual information between estimated sources.
Maximizing the sum of the negentropy of the components subject to a variance constraint equals minimizing mutual information while estimating independence.
A common filter is to use mutual information to estimate the relationships between each feature and the class labels (mutual relevancy), and between each pair of features (mutual redundancy).
The best of these are based on information theory [ 20, 21], estimating mutual information (MI) values and combine these estimates via step-wise procedures [ 22- 25].
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