Sentence examples for maximum likelihood measure from inspiring English sources

The other present models in the cluster may be merged iteratively such that the intermediate model minimally increases the error defined based on a maximum likelihood measure [113].

The other present models in the cluster has been merged iteratively such that the intermediate model minimally increases the error defined based on a maximum likelihood measure as has been described in [149].

We also considered several measures designed specifically for networks (both maximum likelihood measures [27] and extensions of a bipartite measure to networks [28]), but each of these requires a rooted phylogenetic network, which only one of the methods we tested (SHB) provides, therefore precluding its use here.

paper, which combines a maximum likelihood criterion with a sensitivity measure.

These binary vectors were used for measuring evolutionary distance using the maximum-likelihood measure of [ 59], and Neighbor-net split networks [ 60] and neighbor-joining trees [ 65] were built using the SplitsTree program [ 84].

Similarly, [50] proposed another additive structure with multiple decision trees, but a minimum generation error (MGE) measure was used as the selection criterion instead of the more common maximum likelihood (ML) measure.

The use of maximum likelihood to measure model fit allows for testing of specific hypotheses by comparing a model and nested submodels using the chi-square statistic.

A method of merging models using agglomerative clustering approach where models have been merged based on a maximum classification likelihood measure has been described in [36].

Between-group changes in efficacy measure variables over time were analyzed using the relevant contrast from a restricted maximum likelihood repeated measures model, with terms for diagnostic group, investigator, visit, baseline score, diagnostic group-by-visit interaction, and baseline score-by-diagnostic group interaction.

Nucleotide substitution model parameters for the maximum likelihood distance measures were chosen using MODELTEST [ 66].

We also calculated an alternative maximum likelihood-based measure of gene loss, the gene loss rate (GLR), introduced by Borenstein et al. (2007).