• BDgraph

  • Referenced in 18 articles [sw14815]
  • Bayesian structure learning in sparse Gaussian graphical models. Decoding complex relationships among large numbers ... paper, we introduce a novel and efficient Bayesian framework for Gaussian graphical model determination which ... graphs. We show our method outperforms alternative Bayesian approaches in terms of convergence, mixing ... practice, sensible approach for structure learning. We illustrate the efficiency of the method...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • extensions to unsupervised learning, recurrent networks and control are available. Robustness, sparseness and weightings ... into LS-SVMs where needed and a Bayesian framework with three levels of inference...
  • RAIcode

  • Referenced in 8 articles [sw34283]
  • constraint-based (CB) Bayesian network structure learning. The RAI algorithm learns the structure by sequential ... this means and due to structure decomposition, learning a structure using RAI requires a smaller ... curse-of-dimensionality. When the RAI algorithm learned structures from databases representing synthetic problems, known ... optimal reinsertion, greedy search, greedy equivalence search, sparse candidate, and max-min hill-climbing algorithms...
  • sparsebn

  • Referenced in 2 articles [sw21046]
  • Learning Large-Scale Bayesian Networks with the sparsebn Package. Learning graphical models from data ... learning the structure of large, sparse graphical models with a focus on Bayesian networks. While ... package focuses on the unique setting of learning large networks from high-dimensional data, possibly...
  • ccdrAlgorithm

  • Referenced in 0 articles [sw16299]
  • score-based method for learning Bayesian networks that uses sparse regularization and block-cyclic coordinate...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • SVMs) with the mechanism behind the hierarchical Bayesian topic models (e.g., LDA) under a unified ... jointly max-margin and maximum likelihood learning of directed or undirected topic models when supervising ... quantitatively that MedLDA could: 1) discover sparse and highly discriminative topical representations; 2) achieve state...
  • MFclass

  • Referenced in 2 articles [sw34570]
  • Gaussian process priors. We adopt a fully Bayesian treatment for the hyper-parameters ... classifier to implement active learning strategies. We also introduce a sparse approximation to enhance...
  • FBFsearch

  • Referenced in 1 article [sw15383]
  • fractional Bayes factors. We propose an objective Bayesian algorithm for searching the space of Gaussian ... thus it is suitable for learning sparse graphs. The algorithm is implemented in C++ using...
  • VarFA

  • Referenced in 1 article [sw40649]
  • Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics. We propose VarFA, a variational inference ... about a students’ skill level estimation. Traditional Bayesian inference methods that produce such uncertainty information ... perform Bayesian inference even on very large data sets. We use the sparse factor analysis...
  • crowdGPPL

  • Referenced in 1 article [sw34403]
  • crowds. We propose a scalable Bayesian preference learning method for jointly predicting the preferences ... using a Bayesian approach to account for uncertainty arising from noisy and sparse data...
  • AMD

  • Referenced in 60 articles [sw00039]
  • Algorithm 837: AMD is a set of routines...
  • ANSYS

  • Referenced in 704 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARMS

  • Referenced in 65 articles [sw00048]
  • ARMS: an algebraic recursive multilevel solver for general...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • BARON

  • Referenced in 354 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Gerris

  • Referenced in 344 articles [sw00341]
  • Gerris is a Free Software program for the...
  • gmp

  • Referenced in 282 articles [sw00363]
  • GMP is a free library for arbitrary precision...
  • Gmsh

  • Referenced in 767 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • KNITRO

  • Referenced in 197 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...