
SDPT3
 Referenced in 630 articles
[sw04009]
 structure are exploited. We also exploit lowrank structures in the constraint matrices associated...

SVMlight
 Referenced in 261 articles
[sw04076]
 problem of learning a ranking function. The optimization algorithms used in SVMlight are described ... this version is an algorithm for learning ranking functions [Joachims, 2002c]. The goal ... objects as accurately as possible. Such ranking problems naturally occur in applications like search engines...

UTV
 Referenced in 238 articles
[sw05213]
 Expansin pack: Specialpurpose rankrevealing algorithms. This collection of Matlab 7.0 software supplements ... includes implementations of specialpurpose rankrevealing algorithms developed since the publication of the original ... provide algorithms for computing and modifying symmetric rankrevealing VSV decompositions, we expand the algorithms ... handle interferencetype problems with a rankdeficient covariance matrix, and we provide a robust...

ScaLAPACK
 Referenced in 404 articles
[sw00830]
 Cholesky factorization, matrix inversion, fullrank linear least squares problems, orthogonal and generalized orthogonal factorizations...

CPnets
 Referenced in 135 articles
[sw01374]
 nets, and how to merge these subrankings derived from the chain CPnets ... generate the preference ranking of the treestructured CPnet. At last, the corresponding analysis...

VisualUTA
 Referenced in 106 articles
[sw16231]
 Ordinal regression revisited: multiple criteria ranking with a set of additive value functions. VisualUTA ... method for multiple criteria ranking of alternatives from set A using a set of additive ... necessary (strong) and a possible (weak) ranking of alternatives from A, being, respectively, a partial...

SDPLR
 Referenced in 119 articles
[sw04745]
 based on the idea of lowrank factorization. A specialized version of SDPLR is also ... Programming Algorithm for Semidefinite Programs via Lowrank Factorization” written by S. Burer and R.D.C...

TensorToolbox
 Referenced in 153 articles
[sw04185]
 expressed as the sum of rank1 tensors. We are interested in the case where...

VGAM
 Referenced in 93 articles
[sw04490]
 additive models, and associated models (ReducedRank VGLMs, Quadratic RRVGLMs, ReducedRank VGAMs). This...

ELECTRE
 Referenced in 122 articles
[sw02971]
 according to the three main problematics: choosing, ranking and sorting. The fourth section presents...

MADM
 Referenced in 121 articles
[sw06484]
 Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination...

Manopt
 Referenced in 87 articles
[sw08493]
 manifolds is wellsuited to deal with rank and orthogonality constraints. Such structured constraints appear ... pervasively in machine learning applications, including lowrank matrix completion, sensor network localization, camera network...

CMAES
 Referenced in 106 articles
[sw05063]
 underlying objective function are made. Only the ranking between candidate solutions is exploited for learning...

OSL
 Referenced in 106 articles
[sw09295]
 than those assumed in simplex implementations. Severe rank deficiency must also be accommodated, making...

FRK
 Referenced in 93 articles
[sw19172]
 package FRK. Fixed Rank Kriging is a tool for spatial/spatiotemporal modelling and prediction with large...

Tensorlab
 Referenced in 53 articles
[sw14255]
 block term decompositions (BTD) and low multilinear rank approximation (LMLRA), complex optimization: quasiNewton ... cumulants, tensor visualization, estimating a tensor’s rank or multilinear rank...

testmatrix
 Referenced in 79 articles
[sw14347]
 inverses or known eigenvalues; illconditioned or rank deficient matrices; and symmetric, positive definite, orthogonal...

MUSCLE
 Referenced in 71 articles
[sw13193]
 MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets...

CirCut
 Referenced in 42 articles
[sw04782]
 Ranktwo relaxation heuristics for MAXCUT and other binary quadratic programs The GoemansWilliamson ... better practical performance, we propose an alternative, ranktwo relaxation and develop a specialized version ... problem.par A computer code based on the ranktwo relaxation heuristics is compared with...

softImpute
 Referenced in 63 articles
[sw12263]
 columns or both, and for computing lowrank SVDs on large sparse centered matrices...