• flare

  • Referenced in 19 articles [sw12406]
  • these Lasso variants to sparse Gaussian graphical model estimation including TIGER and CLIME using either ... computation is memory-optimized using the sparse matrix output...
  • BDgraph

  • Referenced in 12 articles [sw14815]
  • Bayesian structure learning in sparse Gaussian graphical models. Decoding complex relationships among large numbers...
  • camel

  • Referenced in 10 articles [sw14318]
  • Tiger, Calibrated Clime for estimating sparse Gaussian graphical models. We adopt the combination ... computation is memory-optimized using the sparse matrix output, and accelerated by the path following...
  • JGL

  • Referenced in 1 article [sw27159]
  • Lasso for Sparse Inverse Covariance Estimation on Multiple Classes. The Joint Graphical Lasso ... generalized method for estimating Gaussian graphical models/ sparse inverse covariance matrices/ biological networks on multiple...
  • SIMULE

  • Referenced in 1 article [sw23083]
  • approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models”, Machine Learning Journal...
  • mixggm

  • Referenced in 1 article [sw31614]
  • Models. Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration...
  • ROCKET

  • Referenced in 11 articles [sw30016]
  • model, which generalizes Gaussian and nonparanormal graphical models. We propose ROCKET, a novel procedure ... under mild assumptions, without relying on oracle model selection results. ROCKET requires the same number ... precision matrix under a Gaussian model. Hence, it is an optimal estimator under a much ... hinges on a tight control of the sparse spectral norm of the nonparametric Kendall...
  • hglasso

  • Referenced in 10 articles [sw11202]
  • penalty in order to learn a sparse graph in the high-dimensional setting. However ... three widely- used probabilistic graphical models: the Gaussian graphical model, the covariance graph model...
  • FBFsearch

  • Referenced in 1 article [sw15383]
  • searching the space of Gaussian directed acyclic graphical models when the variables are assumed ... thus it is suitable for learning sparse graphs. The algorithm is implemented in C++ using...
  • SparseTSCGM

  • Referenced in 1 article [sw15374]
  • sparse autoregressive coefficient and precision matrices for time series chain graphical models(TSCGM). These models ... effeicient way of simultaneously dealing with Gaussian graphical models (undirected graphs for instantaneous interactions...
  • Libra

  • Referenced in 0 articles [sw14827]
  • sparse models in statistics, including linear regression, logistic regres- sion, and several graphical models (Gaussian...
  • nsiGGM

  • Referenced in 1 article [sw22173]
  • novel statistical framework for fitting joint Gaussian graphical model simultaneously with informative pathways consistently expressed ... structured input-output lasso model, in order to estimate a sparse precision matrix constructed...
  • FMGaBP

  • Referenced in 1 article [sw16762]
  • sparse algebraic kernels. The introduced FEM Multigrid Gaussian Belief Propagation (FMGaBP) algorithm is a novel ... that eliminates all global algebraic operations and sparse data-structures. The algorithm is based ... distributed variational inference problem on graphical models. We present new formulations for FMGaBP, which enhance...
  • glm-ie

  • Referenced in 2 articles [sw13249]
  • connected undirected graphical models or Markov random fields with Gaussian and non-Gaussian potentials ... matrix classes with lazy evaluation for convenient modelling. We designed the glm-ie package ... Large scale probabilistic classification as well as sparse linear modelling can be performed...
  • ADOL-C

  • Referenced in 242 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • AMD

  • Referenced in 55 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • ANSYS

  • Referenced in 663 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ATLAS

  • Referenced in 197 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • CGAL

  • Referenced in 362 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • CoCoA

  • Referenced in 634 articles [sw00143]
  • CoCoA is a system for Computations in Commutative...