Sentence examples for maximum likelihood minimum from inspiring English sources

The techniques for unsupervised classification include clustering techniques like the ones used in unsupervised classification (maximum likelihood, minimum distance, k-means, ISODATA etc).

Confidence values for these relationships were high (>99%) using three phylogenetic methods (maximum likelihood, minimum evolution, and Bayesian inference) in five of the seven analyses (Fig. 1).

All three programmes (maximum likelihood, minimum evolution and neighbour-joining) show that the coelacanth Dnmt3a is clustered with tetrapods' Dnmt3a, but not with other fishes' Dnmt3a.

While neighbor joining, maximum likelihood, minimum evolution and parsimony methods do not find any significant bootstrap support for the placement of L. welshimeri in the phylogeny, the Bayesian analysis supports placement of L. welshimeri as a basal taxon to the L. innocua/ L. marthii/ L. monocytogenes clade with a highly significant posterior probability (100%).

The "four-helix" alignment was used to calculate the trees of cytochrome b, shown in figures 3, 4, and 5. Different algorithms such as maximum likelihood, minimum evolution, or neighbor joining were tested to calculate the trees with the program MEGA (K. Tamura, D. Peterson, N. Peterson, M. Nei, and S. Kumar).

Therefore, the sufficient condition minimized noise variance is often applied along to produce different kinds of estimators which are optimal in the minimum mean square error (MSE) sense or suboptimal: Bayesian, maximum likelihood (MLE), minimum variance unbiased (MVU), etc.

The algorithms include maximum likelihood and minimum distance classification, among others.

Various decoding methods, including maximum likelihood (ML), minimum mean square error (MMSE), and mixed ML-MMSE decoding algorithms, have been developed for these novel encoding schemes.

Maximum likelihood and minimum evolution phylogenies were inferred from each resulting multiple sequence alignment.

For the remaining two analyses (ii and v), significant support values were obtained with Bayesian inference, but varied for maximum likelihood and minimum evolution.

Phylogenetic trees based on nucleotide data were obtained using a heuristic search with three different optimality criteria of maximum likelihood (ML), minimum evolution (ME) and maximum parsimony (MP) as implemented in PAUP* ver 4.0b10 [ 64].