
MTS
 Referenced in 4 articles
[sw15485]
 models, copulabased volatility models, and lowdimensional BEKK models. The package also considers multiple...

NMPC
 Referenced in 2 articles
[sw06445]
 approach is proposed to implement lowdimensional parameterized Nonlinear Model Predictive Control (NMPC) schemes...

OpenKE
 Referenced in 2 articles
[sw30611]
 various fundamental models to embed knowledge graphs into a continuous lowdimensional space. OpenKE prioritizes...

RPtests
 Referenced in 0 articles
[sw19531]
 tests for both high and lowdimensional linear models. It can test for a variety...

hdm
 Referenced in 4 articles
[sw21313]
 lowdimensional causal/ structural parameters are provided which appear in highdimensional approximately sparse models...

ProjE
 Referenced in 2 articles
[sw34444]
 developed using lowdimensional graph embeddings. Although researchers continue to improve these models using...

persona2vec
 Referenced in 1 article
[sw33469]
 Graphs. Graph embedding techniques, which learn lowdimensional representations of a graph, are achieving state ... model while achieving better performance. Graph embedding techniques, which learn lowdimensional representations ... than the existing stateoftheart model while achieving better performance...

FMS
 Referenced in 7 articles
[sw31728]
 inliers drawn around a lowdimensional subspace of a higher dimensional ambient space ... stationary point. Further, under a special model of data, FMS converges to a point which...

Active subspaces
 Referenced in 3 articles
[sw32976]
 emerging set of tools for discovering lowdimensional structure in a given function of several ... function is the map from the physical model’s input parameters to its output quantity...

Charagram
 Referenced in 1 article
[sw26535]
 simple approach for learning characterbased compositional models to embed textual sequences. A word ... single nonlinear transformation to yield a lowdimensional embedding. We use three tasks for evaluation...

Graph Investigator
 Referenced in 2 articles
[sw26160]
 similarity by embedding graph patterns into lowdimensional space or distance measurement based on feature ... network evolving in the process of angiogenesis, modelled with the use of cellular automata...

ALPS MPS
 Referenced in 1 article
[sw19924]
 physics as well as dynamics of lowdimensional quantum systems. In this paper, we present ... arbitrary onedimensional and twodimensional models. Implementing the conservation of quantum numbers for generic...

ManiSolve
 Referenced in 1 article
[sw34623]
 Five decades of numerical experience show that models of technical systems tend to decompose favorably ... that of solving a sequence of lowdimensional ones. The most serious weakness of this...

LFADS
 Referenced in 0 articles
[sw16550]
 singletrial, highdimensional neural spiking data. LFADS is a sequential model based ... observed spiking to a set of lowdimensional temporal factors, pertrial initial conditions...

VariableScreening
 Referenced in 0 articles
[sw15948]
 varying coefficient longitudinal models with ultra high dimensional predictors <http://imstat.org/aoas/next_issue.html>. The effect ... vary over time, approximated by a lowdimensional Bspline. Withinsubject correlation is handled...

EEBoost
 Referenced in 1 article
[sw26353]
 prediction in standard regression problems. However, simple models may misspecify or fail to capture important ... applied in highdimensional settings where inference for lowdimensional parameters would typically be based...

DiSMEC
 Referenced in 1 article
[sw30154]
 embedding the label matrix to a lowdimensional linear subspace. However, in the presence ... diverse label spaces, structural assumptions such as low rank can be easily violated. In this ... coupled with explicit capacity control to control model size. Unlike most state...

MOTIFEM
 Referenced in 1 article
[sw16892]
 technique works by constructing rotationally invariant, lowdimensional representations of local regions in the input ... also been used to build atomic models for some maps. We also used MOTIF...

SINE
 Referenced in 1 article
[sw32344]
 Attributed network embedding aims to learn lowdimensional vector representations for nodes in a network ... formulates a probabilistic learning framework that separately models pairs of nodecontext and nodeattribute...

GAP
 Referenced in 2735 articles
[sw00320]
 GAP is a system for computational discrete algebra...