Sentence examples for mutual information measure from inspiring English sources

A normalized mutual information measure was employed to investigate the relationship between LST and the spatial pattern of green space.

The overlap can be quantified, for instance, via the normalized mutual information measure proposed by Danon et al. [36, 39].

Qualitative aspects of the features were investigated using a normalized point-wise mutual information measure between topics and emotions.

Each component of the decomposition is a mutual information measure with respect to a single input, conditioned on a subset of the remaining inputs.

A combination of the three factors PLAND, PD and ED explained much of the variance of LST with a normalized mutual information measure of 0.8694.

Normalized mutual information measure estimations between LST and PLAND and ED, PLAND and PD and ED and PD were 0.7679, 0.7650 and 0.7832, respectively.

The other feature, SpSI, is based on a comparison of mutual information measures between selected components of the mammographic images.

The mutual information measures the quantity of information common to the random variables in the system (Shannon 1948).

Despite the apparent simplicity of mutual information measures, there is no one simple way which works in general for every data set.

However, we believe that this same general method arguments may apply to any network inferred by means of mutual information measures, and to some extent to other networks inferred by other quantitative interaction measures.

In general, mutual information measures the dependency between two random variables, that is how much information two variables share and is defined as: I ( X, Y ) = ∑ x ∈ X ∑ x ∈ X p ( x, y ) log p ( x, y ) p ( x ) p ( y ) (1).