
GMRFLib
 Referenced in 247 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 14 articles
[sw06422]
 networks) as well as undirected ones (Markov random fields and factor graphs). It offers various...

MALLET
 Referenced in 22 articles
[sw10602]
 Markov Models, Maximum Entropy Markov Models, and Conditional Random Fields. These methods are implemented...

LatticeKrig
 Referenced in 3 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...

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

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

XMRF
 Referenced in 2 articles
[sw22303]
 package XMRF: Markov Random Fields for HighThroughput Genetics Data. Fit Markov Networks...

glmie
 Referenced in 2 articles
[sw13249]
 fullyconnected undirected graphical models or Markov random fields with Gaussian and nonGaussian potentials...

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 hingeloss 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...

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...

MRFMBNN
 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 semiMarkov 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 3 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 firstorder and secondorder Markov CRFs. We have tested FlexCRFs on Linux...

Venture
 Referenced in 7 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 meanfield variational inference techniques...

ADOLC
 Referenced in 212 articles
[sw00019]
 ADOLC: Automatic Differentiation of C/C++. We present...

ATLAS
 Referenced in 194 articles
[sw00056]
 This paper describes the Automatically Tuned Linear Algebra...