Sentence examples for prediction algorithm is based on from inspiring English sources
The prediction algorithm is based on the results of a synthetic benchmark, the Zachmanntest, which we applied to various x86 servers.
Our RTT prediction algorithm is based on the fixed-share experts algorithm [2] which uses 'on-line learning' based on the predictions of a set of fixed experts denoted by {x1, …, x N }.
Our function prediction algorithm is based on two observations.
The newly developed consensus prediction algorithm is based on the probabilistic framework provided by the hidden Markov model, therefore the HMMTOP method can be utilized for this task.
This helix prediction algorithm is based on all high-resolution structures available, with the scoring function comparing homology of the sequences to known helical structures.
The parameter values of our prediction algorithm are based on measurements on one floor of one building (second floor, Zuiderpoort, see Section 7).
Secondary structure predictions for S-layer proteins are of limited value thus far as the prediction algorithms are based on the available structures of very dissimilar types of proteins.
Moreover, most of these prediction algorithms are based on early data resources [ 20, 26, 27], and several methods suffer from the inaccurate assumption that there is just one mature miRNA within a specific pre-miRNA transcript [ 5, 21, 24, 28].
Taken together, previous piRNA prediction algorithms were based on the following features: (i) transcript length of 24 35 nt, (ii) nucleotide bias at Position 1 of G expression, (iii) localization in clusters and (iv) differential frequencies of certain k-mer sequences.
Like most epitope prediction models, TEPITOPE's underlying algorithm is based on the prediction of HLA-II peptide binding, which constitutes a major bottleneck in the natural selection of epitopes.
The AS male call recognition algorithm is based on linear prediction cepstral coefficient (LPCC) feature vectors and a multilayer perceptron classifier (MLP).
