Sentence examples for maximum conditional probability from inspiring English sources

Finally, the maximum conditional probability is obtained to determine the candidate mode of SVC.

Now it becomes a problem of finding the maximum conditional probability of Pleft overrightarrow{O}|lright)=prod_{n=1}^kPleft {O}_n|lright) (18)where the conditional probability P(O n | l) is derived from the RSSI distribution pre-stored in the fingerprint database.

The prediction is then in charge of finding the annotation that has maximum conditional probability.

The solution with the maximum conditional probability is extracted as the final result.

Individuals are then classified into clusters by choosing the maximum conditional probability among the Gaussian distributions of the chosen mixture model (Fraley et al. 2012).

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.

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).

The Integrity Index is defined as 1 minus the difference between the maximum and minimum conditional probabilities of failure of the system components.

Bottom reconstructed maximum of the posterior (conditional) probability density function for the signal given the data P signaljdata).

SSVMs models sequence labeling problems by the large margin method like SVMs, which has good generalization ability; while CRFs models sequence labeling problems by maximum likelihood estimation of conditional probability, which could suffer from the over-fitting problem.

We found the maximum likelihood score for the conditional probability distribution using an optimization function optim in R. The maximum score was used as the upper bound in the rejection-sampling algorithm.