• GMRFLib

  • Referenced in 222 articles [sw06641]
  • Gaussian Markov random fields. Theory and applications. Researchers in spatial statistics and image analysis ... familiar with Gaussian Markov Random Fields (GMRFs), and they are traditionally among ... with such widespread use in the field of spatial statistics, it is surprising that there ... comprehensive reference on the subject.par Gaussian Markov Random Fields: Theory and Applications provides such...
  • LibDAI

  • Referenced in 11 articles [sw06422]
  • networks) as well as undirected ones (Markov random fields and factor graphs). It offers various...
  • MALLET

  • Referenced in 20 articles [sw10602]
  • Markov Models, Maximum Entropy Markov Models, and Conditional Random Fields. These methods are implemented...
  • QUIC

  • Referenced in 5 articles [sw11795]
  • underlying graph structure of a Gaussian Markov Random Field, from very limited samples. We propose...
  • LatticeKrig

  • Referenced in 2 articles [sw15594]
  • package LatticeKrig: Multiresolution Kriging Based on Markov Random Fields. Methods for the interpolation of large ... compactly supported basis functions and a Markov random field model for the basis coefficients. These ... geometries besides a rectangular domain. The Markov random field approach combined with a basis function...
  • foxPSL

  • Referenced in 2 articles [sw13725]
  • statistical relational learning, a recently developed field of machine learning that aims at representing both ... template language for hinge-loss Markov Random Fields, a type of continuous Markov Random fields...
  • growfunctions

  • Referenced in 2 articles [sw16375]
  • Gaussian process (GP) or intrinsic Gaussian Markov random field (iGMRF) prior formulations where a Dirichlet...
  • HyPER

  • Referenced in 2 articles [sw23917]
  • graphical models known as hinge-loss Markov random fields. We experimentally evaluate our approach...
  • Characterness

  • Referenced in 2 articles [sw28333]
  • characters, we then design a Markov random field model so as to exploit the inherent...
  • XMRF

  • Referenced in 1 article [sw22303]
  • package XMRF: Markov Random Fields for High-Throughput Genetics Data. Fit Markov Networks...
  • glm-ie

  • Referenced in 1 article [sw13249]
  • fully-connected undirected graphical models or Markov random fields with Gaussian and non-Gaussian potentials...
  • SpaCEM3

  • Referenced in 1 article [sw20896]
  • algorithm for soft clustering and Markov Random Fields (MRF) for spatial modelling. The learning...
  • UGM

  • Referenced in 1 article [sw28257]
  • potentials. The last task focuses on Markov random fields and conditional random fields with...
  • MRF-MBNN

  • Referenced in 1 article [sw02098]
  • knowledge. This is achieved by including Markov random field (MRF) into the MBNN and this...
  • Conrad

  • Referenced in 1 article [sw23028]
  • gene predictor based on semi-Markov conditional random fields (SMCRFs). Unlike the best standalone gene ... predictors, which are based on generalized hidden Markov models (GHMMs) and trained by maximum likelihood...
  • smerfs

  • Referenced in 2 articles [sw23987]
  • efficient simulation of isotropic Gaussian random fields on the unit sphere is a task encountered ... numerical applications. A fast algorithm based on Markov properties and fast Fourier transforms...
  • FlexCRFs

  • Referenced in 2 articles [sw10649]
  • FlexCRFs is a conditional random field toolkit for segmenting and labeling sequence data written ... supports both first-order and second-order Markov CRFs. We have tested FlexCRFs on Linux...
  • Venture

  • Referenced in 6 articles [sw14670]
  • interface (SPI) that specifies and encapsulates primitive random variables. The SPI supports custom control flow ... proposals based on particle Markov chain Monte Carlo and mean-field variational inference techniques...
  • ATLAS

  • Referenced in 192 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • Expokit

  • Referenced in 148 articles [sw00258]
  • Expokit provides a set of routines aimed at...