Sentence examples for implementing maximum from inspiring English sources

The EM algorithm is an algorithm implementing maximum likelihood estimation.

Although it is instructive to derive estimates of genetic and environmental effects using correlations between relatives, in practice, structural equation modeling is preferred to make a simultaneous decomposition of the covariance matrix using widely available software implementing maximum likelihood [26], [27], [28] or Bayesian [29], [30] approaches.

This algorithm implements maximum advantage when the nonlinearities are discrete and strong as in most of the power electronics semiconductor devices.

For each relayed carrier, the destination implements maximum ratio combining.

Based on the two signalling intervals, the destination implements maximum ratio combining for the carriers with relaying.

In [19] and [21] Luchko has developed and implemented maximum principles to study the generalized fractional diffusion equation of Caputo fractional derivative.

In all corpora, we also trained models from the Apache OpenNLP toolkit [37], which implement maximum entropy- and perceptron-based classifiers.

For each relayed carrier, the destination implements maximum ratio combining between the signal received from the source and the signal received from the relay.

The BiSSE method implements maximum likelihood estimates of six parameters under a constant-rates birth-death process: speciation and extinction rates under each of the two states of a binary character (λ0, λ1, μ0, μ1), rates of transition from state zero to state one (m01), and rates of transition from state one to state zero (m10).

To estimate the phylogenetic relationships among species of Hymenoplia we implemented Maximum Likelihood searches of the combined mitochondrial sequence in PhyMLv2.4.4 [ 51] using a GTR+I+Γ model (as selected in Modeltest 3.06, [ 52]), with all parameters estimated from the data.

To overcome this inconvenience, we reconstructed the phylogenetic tree for the 371 mammalian species being analyzed and implemented maximum-likelihood models for our prepartitioned data sets.