Sentence examples for implementation of the maximum from inspiring English sources

We considered using RAxML [ 23], a fast and reliable implementation of the maximum likelihood phylogenetic approach and MrBayes [ 24] which implements the much slower but more exhaustive Bayesian approach.

An implementation of the Maximum Recommended Therapeutic Dose (MRTD) set [26] including name, SMILES, and 166-key fingerprints.

The standard implementation of the Maximum Entropy Method (MEM) follows Bryan [1] and deploys a Singular Value Decomposition (SVD) to limit the dimensionality of the underlying solution space apriori.

Standard learning methods for such models employ a variety of heuristics applied to the expectation-maximization implementation of the maximum likelihood estimation procedure in order to find the global maximum of the likelihood function.

A bayesian phylogenetic approach was used to infer gene-tree topologies that also served as the basis for the implementation of the maximum likelihood methods of the PAML package ver. 4.3 [ 62].

The generated Bayesian trees served as the basis for the implementation of the maximum likelihood methods of the PAML package of programs [ 41] aiming at detecting adaptive molecular evolution under specific models of codon substitution.

A convolutional code can be represented by a regular (or conventional) trellis which allows an efficient implementation of the maximum-likelihood decoding algorithm, known as the Viterbi algorithm (VA).

The algorithm was implemented in Python 2.6 using the NetworkX (Hagberg et al., 2008) package, as well as Joris van Rantwijk's implementation of the maximum-weight mapping algorithm based on the blossom method for finding augmenting paths and the primal dual method for finding a maximum-weight matching (Galil, 1986).

The random tree and the simulated values obtained at the leaf nodes were provided as input to RidgeRace and to implementations of the maximum likelihood and generalized least squares algorithms (Felsenstein, 1985; Hansen, 1997) in the APE package for ancestral character state estimation (Paradis et al., 2004).

For this reason, in this section, we choose to present a step by step description of the parallel implementation of the 1D maximum subsequence sum and the related problems using CUDA/GPGPU.

Therefore the implementation of unequal maximum limits to the absolute value of the class means for different classes in equations (4) and (5) is justified, particularly in analyses involving K as high as 30 for toy datasets, as is the case in this study.