Sentence examples for number of likelihood from inspiring English sources
(NWs: number of warpings, NFEs: number of feature extractions, NLCs: number of likelihood computations, NRPs: number of recognition passes).
Thus, the BTS algorithm summarized above reduces the number of likelihood computations from 10too 6 for the BISN algorithm, exactly producing the same self-normalization warps.
The comparison of these competitive forecasting models encompasses a number of likelihood testing methods, such as the N-test for data consistency in expected number space, the L-test for data consistency in likelihood-space, and the R-test for relative performance checking of seismicity models (Schorlemmer et al. 2007).
We consider the number of warpings performed on the FFT spectrum (NW), the number of feature extractions (NFEs) required for the whole system (both for search and recognition), the number of likelihood computations (NLCs), and lastly the number of recognition passes (NRPs).
Due to the number of likelihood ratios calculated, multiple testing correction becomes an important procedure for determination of significant signals.
We have also provided the option so that the user can force the entire full likelihood computation every n number of likelihood computations.
They examined a number of likelihood-based classifiers (such as average likelihood ratio test (ALRT), quasi-ALRT, generalized likelihood ratio test (GLRT), and hybrid likelihood ratio test (HLRT)), and feature-based classifiers (such as cumulant-based algorithms) by choosing binary PSK (BPSK) and quadrature PSK (QPSK) as candidate modulations in one case and 16-QAM and 8-QAM in the other.
FB6 depends on the number of likelihoods computed in FB4 and the number of used particles.
The estimated number of Maximum Likelihood entities or "phylogenetic species" and the confidence interval (CI) around these values are reported.
To determine the effect of natural selection on coding gene regions, we applied a number of maximum likelihood codon models implemented in the PAML software package [ 17].
The hierarchical likelihood ratio test (hLRT) consists of a tree hierarchy where the best-fit model is selected by performing a number of pairwise likelihood ratio tests and navigating the tree to arrive at the final model [ 24].
