• OnD-CRF

  • Referenced in 3 articles [sw35358]
  • order and disorder in proteins conditional random fields. Motivation: Order and Disorder prediction using Conditional ... Random Fields (OnD-CRF) is a new method for accurately predicting the transition between structured...
  • spTest

  • Referenced in 3 articles [sw19766]
  • second order properties of the random field. A scientist developing a model for spatial data ... spatial and spectral representations of random fields. Several of these nonparametric tests are implemented...
  • XMRF

  • Referenced in 4 articles [sw22303]
  • package XMRF: Markov Random Fields for High-Throughput Genetics Data. Fit Markov Networks...
  • CONTRAlign

  • Referenced in 4 articles [sw08305]
  • pairwise sequence alignment using pair conditional random fields. When learning a substitution matrix...
  • FieldSim

  • Referenced in 2 articles [sw25279]
  • package FieldSim: Random Fields (and Bridges) Simulations. Tools for random fields and bridges simulations...
  • 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...
  • cgeostat

  • Referenced in 2 articles [sw23163]
  • cgeostat Software for Analyzing Complex-Valued Random Fields. Given a vectorial data ... environmental sciences and meteorology (e.g., for wind fields). In such a case, some computational difficulties ... geostatistical analysis of complex-valued random fields is presented and an application is demonstrated...
  • MICAlign

  • Referenced in 2 articles [sw12010]
  • multiple sources of information in conditional random fields. Summary: Sequence-to-structure alignment in template ... scheme, were integrated into conditional random fields through which the optimal parameters were automatically learned...
  • EFD

  • Referenced in 50 articles [sw04152]
  • provide an inversion in the ground field. In order to do this, the authors first ... combine “windows” techniques, and average over many random scalars of given size ... three inversions in the ground field (typically, an inversion is needed when one wants...
  • ParsCit

  • Referenced in 3 articles [sw30479]
  • machine learning procedure that uses Conditional Random Fields as its learning mechanism. You can download...
  • CIRFE

  • Referenced in 3 articles [sw27640]
  • CIRFE: a distributed random fields estimator. The paper presents a communication efficient distributed algorithm, CIRFE...
  • OnlineMin

  • Referenced in 8 articles [sw12059]
  • fast strongly competitive randomized paging algorithm. In the field of online algorithms paging...
  • HLM

  • Referenced in 44 articles [sw06516]
  • Modeling (HLM). In social research and other fields, research data often have a hierarchical structure ... each level, but it also predicts the random effects associated with each sampling unit ... hierarchical structures in data from this field, it is suitable for use with data from...
  • glm-ie

  • Referenced in 2 articles [sw13249]
  • connected undirected graphical models or Markov random fields with Gaussian and non-Gaussian potentials...
  • growfunctions

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

  • Referenced in 2 articles [sw31266]
  • Berschneider, B. Böttcher, On complex Gaussian random fields, Gaussian quadratic forms and sample distance multivariance...
  • ChemSpot

  • Referenced in 2 articles [sw23131]
  • combined approach of employing a Conditional Random Field and a dictionary, as well as pattern...
  • FlexCRFs

  • Referenced in 2 articles [sw10649]
  • FlexCRFs is a conditional random field toolkit for segmenting and labeling sequence data written...
  • HyPER

  • Referenced in 2 articles [sw23917]
  • 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...