• Latent GOLD

  • Referenced in 93 articles [sw11673]
  • factor analysis, structural equation models, and random-effects 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 log-linear potentials...
  • rft1d

  • Referenced in 1 article [sw24022]
  • rft1d: Smooth One-Dimensional Random Field Upcrossing Probabilities in Python. Through topological expectations regarding smooth ... thresholded n-dimensional 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 semi-Markov 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 back-to-back. 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 manifold-valued random fields...
  • DUNE-randomfield

  • Referenced in 1 article [sw35001]
  • DUNE-randomfield: 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 open-source 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]
  • high-order 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...
  • MRF-MBNN

  • 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 (FC-CRF). 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 non-parametric...
  • 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 non-central 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...