
Latent GOLD
 Referenced in 93 articles
[sw11673]
 factor analysis, structural equation models, and randomeffects regression models that are based on continuous ... program. Over the same period, the related field of finite mixture (FM) models for multivariate...

UGM
 Referenced in 1 article
[sw28257]
 last task focuses on Markov random fields and conditional random fields with loglinear potentials...

rft1d
 Referenced in 1 article
[sw24022]
 rft1d: Smooth OneDimensional Random Field Upcrossing Probabilities in Python. Through topological expectations regarding smooth ... thresholded ndimensional Gaussian continua, random field theory (RFT) describes probabilities associated with both...

Conrad
 Referenced in 1 article
[sw23028]
 Conrad: Gene prediction using conditional random fields. We present Conrad, the first comparative gene predictor ... based on semiMarkov conditional random fields (SMCRFs). Unlike the best standalone gene predictors, which...

TFPlan
 Referenced in 1 article
[sw11816]
 TFPlan: Software for Restricted Randomization in Field Plot Design. Strict computer randomizations of entry/treatment numbers ... entries on one side of the field or backtoback. Both situations present ... program (TFPlan) was developed to avoid the randomizations that resulted in these two types ... randomization that does not have entries occurring only on one side of the field...

Manifoldgstat
 Referenced in 1 article
[sw34521]
 Manifoldgstat: Kriging prediction for manifoldvalued random fields...

DUNErandomfield
 Referenced in 1 article
[sw35001]
 DUNErandomfield: Generation of Gaussian random fields in arbitrary dimensions, based on circulant embedding...

LoMRF
 Referenced in 1 article
[sw35053]
 LoMRF: Logical Markov Random Fields. LoMRF is an opensource implementation of Markov Logic Networks...

gamlss.spatial
 Referenced in 1 article
[sw36345]
 allows us to fit Gaussian Markov Random Field within the Generalized Additive Models for Location...

constr_tt
 Referenced in 1 article
[sw13066]
 highorder correlation functions of Gaussian random fields. Requires the TT toolbox. Implemented by Christine...

disaggregation
 Referenced in 1 article
[sw31474]
 useful. Regression models with spatial random fields. A useful reference for disaggregation modelling is Lucas...

SpaCEM3
 Referenced in 1 article
[sw20896]
 algorithm for soft clustering and Markov Random Fields (MRF) for spatial modelling. The learning...

SignalP
 Referenced in 1 article
[sw27722]
 neural network architecture including a conditional random field...

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

SEGCloud
 Referenced in 1 article
[sw36663]
 interpolation(TI) and fully connected Conditional Random Fields (FCCRF). Coarse voxel predictions from...

CRF
 Referenced in 1 article
[sw27166]
 java implementation of Conditional Random Fields for sequential labeling developed by Sunita Sarawagi...

FReET
 Referenced in 1 article
[sw22080]
 used for both random variables and random fields. Sensitivity analysis is based on nonparametric...

BRISC
 Referenced in 1 article
[sw36600]
 occurrence, Gabor filters, and Markov random fields. Gabor and Markov descriptors perform better at retrieving...

PowerMap
 Referenced in 1 article
[sw24494]
 calculation algorithms based on noncentral random field theory. It can also calculate power...

KUBO
 Referenced in 2 articles
[sw17872]
 standard diagonal disorder, a uniform magnetic field and random magnetic fluxes. Working within...