Sentence examples for maximum likelihood environment from inspiring English sources

This method typically includes a pipeline starting with the ITS2 database (source of sequence structure data), foursale or 4SALE (alignment) and ProfDistS3 (distance method for phylogenetic reconstruction) or a custom substitution matrix to be implemented in a maximum likelihood environment [ 50, 51].

Comparative simulation studies revealed the superiority of proposed method compared to WF based fuzzy explicit, fuzzy k-nearest neighbor and fuzzy maximum likelihood classifiers under noisy environment.

This package gives the heritabilities and confidence intervals as well as the P values for statistical differences between the additive genetic and the common and unique environments, based on maximum likelihood estimation [36].

HAPSTAT allows the user to estimate or test haplotype effects and haplotype-environment interactions by maximum likelihood estimation and the EM algorithm.

The standard adaptation methods used for speaker adaptation, such as maximum a posteriori (MAP) [1, 2] and maximum likelihood linear regression (MLLR) [9], can be also used for environment model adaptation.

It was fitted with the linear mixed model formula lme (implemented in the NLME library) in the R environment (version 2.11.1) [45] and model parameters were estimated with maximum likelihood.

We used parsimony and maximum likelihood to reconstruct ancestral states in the Ape package of the R statistical environment [ 68, 69].

In MP environment, the proposed method is used in combination with fast iterative maximum likelihood algorithm (FIMLA) that is adapted to future modernized GPS and Galileo signals.

We performed this analysis using the R Language and Environment for Statistical Computing [42] with the package bbmle (v. 0.9.0) for maximum likelihood estimation [41], [43] (Appendix S2).

At the receiver end, the optimal maximum likelihood (ML) detector aided by the archived information for Gaussian and Laplacian signals in noisy environment is designed and implemented.

The covariance matrices CCMT2, Ccis, Ctrans and Σ describe phenotypic correlations across environments due to these contributions, and were estimated from the data using maximum likelihood.