Sentence examples for maximum likelihood selected from inspiring English sources

In Dataset 1, 96.7% of the time the Maximum Likelihood selected spatiotemporal action is correct with reference to ground-truth labels.

Trees were produced using both models with TREEFINDER using maximum likelihood, selected models and 10,000 replicates producing concurrent trees with the LG+G tree shown [60].

For a fixed set of data and underlying statistical model, Maximum Likelihood selects the set of values of the model parameters that maximizes the likelihood function.

The speaker with the maximum likelihood was selected as the target speaker.

We estimated variance components of different taxonomic levels using SPSS (version 18.0) with the REML (= restricted maximum likelihood) option selected, due to the unequal sample sizes in our data set.

Analysis of the subset of longer sequences in A. halleri including both the S- and the kinase domains using model M8 revealed that eight of the 323 codons analyzed (273S, 274D, 276Y, 287I, 299I, 345I, 415E, 421Y) belonged to the maximum likelihood "positively selected" category.

In A. halleri, the maximum likelihood "positively selected" category was very similar across the five credible topologies, with only minor differences apparent in the posterior BEB probabilities (one topology identified 13 sites and two identified 14 sites versus 12 sites in the ML-tree).

This bias occurs because the maximum likelihood estimator selects the most likely parameter value (the mode of the likelihood function), and not the expected value of the parameter.

Choice of statistical distribution can be made by independently fitting the different models to the data by maximum likelihood, and selecting the distribution that achieves the best fit (e.g. the lowest Akaike's Information Criteria or Bayesian Information Criterion) [ 5].

Once a covariance structure was selected, we used Maximum Likelihood (ML) to select which fixed effects improved the fit of the model.

The selected sequences were then each processed against all ss-rRNA sequences by two methods: by using STAP with the default maximum likelihood tree option selected, and by using BLASTN.