Sentence examples for mutual information estimate from inspiring English sources

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Here we extended a discriminative training method that was originally developed for speech recognition: the maximum mutual information estimate (MMIE; Gopalakrishnan et al., 1991).

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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.

Specifically, we show that any distribution-free high-confidence lower bound on mutual information estimated from N samples is at most logarithmic in N, which implies that the lower bound methodology is fundamentally flawed whenever the true mutual information is nontrivial.

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.

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.

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).

In this paper, the statistical dependence between random variables is quantified by mutual information and estimated using a k nearest neighbor based approximation.

When the mutual information is estimated by kernel methods, computing the pairwise mutual information is quite time-consuming.

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.

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