reduced-rank maximum likelihood estimation.
For example, a reduced-rank maximum likelihood estimation (RRMLE) has been derived in [27] for the ML estimation of the regression matrix in terms of the data covariances and their Eigen elements.
More precisely, four rank aggregation functions (minimum of the ranks, maximum of the ranks, product of the ranks, and Borda count, which is effectively the sum of the ranks) were evaluated in terms of their accuracy, compared to using the rankings from a single dataset alone.
Then condition (15) becomes k A θ ″ + k F ϕ ″ ≥ F + 2. According to the definition of k '-rank, the maximum k '-rank ofA θ orF ϕ is F. Then it requires that min ( k A θ ″, k F ϕ ″ ) ≥ 2. This lower bound is similar to the identifiability requirement of PARAFAC model, which uses k -rank instead of k '-rank (see Ref. [11]).
From 1999 onwards it was assessed by Tertiary Entrance Rank (TER) (maximum score 99.95) which is calculated on the basis of the total number in the cohort and the TES distribution for that year.
In a question where respondents were asked to rank a maximum of five developments out of a list of 17 suggestions, the rankings were converted to a score of five for the highest rank, four for the next and so on down to one for the lowest.
MRF, Markov random field; PPI, protein-protein interaction; RWR, random walk with restart; DIR, data integration rank; MLE, maximum likelihood estimation; MCMC, Markov chain Monte Carlo; OMIM, online Mendelian inheritance in man; PCC, Pearson correlation coefficient; ROC, receiver operating characteristic; AUC, area under the ROC curve.
Confirmed HIV epitopes and putative non-immunogenic HIV peptides were ranked on maximum self-similarity, and the combined ranking was split in two parts: a) The peptides with a self-similarity score greater than 0.85 and b) and peptide with a self-similarity score below 0.85.
Using ranked correlation, genomic distance from the expression cassette accounted for 21% of the variance in the ranking of maximum identity to some expression cassette (P = 2.4×10−6).
The joint effect of all inversions across all candidate lists was determined by assigning each SNP a maximum rank (more significant ranks being higher) across all candidate lists and calculating the proportion of SNPs from inversions above the 99th quantile.
If a Spider-Man has reached his maximum rank, you can't rank him up further.
