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Conditional random field

Known as: CRF, Conditional random fields, Discriminative probabilistic latent variable model 
Conditional random fields (CRFs) are a class of statistical modelling method often applied in pattern recognition and machine learning, where they… 
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Papers overview

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2015
2015
The use of high-volume quantitative radiomics features extracted from multi-parametric magnetic resonance imaging (MP-MRI) is… 
Review
2014
Review
2014
A common feature of many online review sites is the use of an overall rating that summarizes the opinions expressed in a review… 
Highly Cited
2010
Highly Cited
2010
We examine maximum spanning tree-based methods for learning the structure of tree Conditional Random Fields (CRFs) P(Y|Χ). We use… 
Highly Cited
2009
Highly Cited
2009
We apply Hidden Conditional Random Fields (HCRFs) to the task of TIMIT phone recognition. HCRFs are discriminatively trained… 
Highly Cited
2007
Highly Cited
2007
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most… 
Highly Cited
2006
Highly Cited
2006
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of… 
Highly Cited
2006
Highly Cited
2006
A Conditional Random Field is a mathematical model for sequences that is similar in many ways to a Hidden Markov Model, but is… 
Highly Cited
2006
Highly Cited
2006
We present a discriminative latent variable model for classification problems in structured domains where inputs can be… 
Highly Cited
2003
Highly Cited
2003
This paper uses laboratory experiments to investigate compliance behavior when returns are selected for audit based upon the… 
Highly Cited
1975
Highly Cited
1975
THE hypophysiotropic hypothalamus regulates the secretion of the anterior pituitary gland through the production and release of…