
OnDCRF
 Referenced in 3 articles
[sw35358]
 order and disorder in proteins conditional random fields. Motivation: Order and Disorder prediction using Conditional ... Random Fields (OnDCRF) 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 HighThroughput 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 hingeloss Markov Random Fields, a type of continuous Markov Random fields...

cgeostat
 Referenced in 2 articles
[sw23163]
 cgeostat Software for Analyzing ComplexValued 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 complexvalued random fields is presented and an application is demonstrated...

MICAlign
 Referenced in 2 articles
[sw12010]
 multiple sources of information in conditional random fields. Summary: Sequencetostructure 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...

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