Sentence examples for maximum probability entropy from inspiring English sources

From GCM, several features are extracted: energy, maximum probability, entropy, inertia, and homogeneity.

Haralick et al. defined 10 grey-level co-occurrence matrix (GLC M enhancement features (energy, maximum probability, contrast, homogeneity, entropy, correlation, sum average, sum variance, difference average and difference variance) to describe texture [ 30], and these features were used to characterise lesions with and without mass effect.

Maximum entropy conditional probability modeling (MECPM) [ 40], applying a novel, deterministic model structure search, builds multiple, variable-order interactions into a phenotype-posterior model, and is coupled with the Bayesian Information Criterion (BIC) to estimate the number of interaction models present.

Maximum entropy is a probability-based algorithm that seeks the probability distribution by maximizing the information contained in the existing measurements [52, 53].

We report a comparison of eight representative methods, multifactor dimensionality reduction (MDR), full interaction model (FIM), information gain (IG), Bayesian epistasis association mapping (BEAM), SNP harvester (SH), maximum entropy conditional probability modeling (MECPM), logistic regression with an interaction term (LRIM), and logistic regression (LR).

By extending the maximum entropy principle to probability amplitude rather than probability density, we retrieved the equations of path-integrated quantum mechanics.

Determination of Maximum-Entropy probability distribution on the parameter grid fulfilling the moment constrains.

Second, we develop an adaptive quantization algorithm in which equal probability quantization is utilized to achieve the maximum partition entropy.

A site with equal probability of all 20 residues has the maximum possible entropy of one.

However, it could not offer maximum entropy since the probability of every quantization output in a dimension is rarely equal.

In order to obtain approximate values of system state probabilities, the principle of maximum entropy is employed.