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Graphical model

Known as: Graphical Models, Probabilistic graphical model 
A graphical model or probabilistic graphical model (PGM) is a probabilistic model for which a graph expresses the conditional dependence structure… 
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Related topics

Related topics

44 relations
Ancestral graphArtificial neural networkAutoencoderBayesian network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by… 
Highly Cited
2008
Highly Cited
2008
Bi-Level Image Thresholding - A Fast Method
Abstract: Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding, most of… 
Highly Cited
2007
Highly Cited
2007
Gossip along the way: order-optimal consensus through randomized path averaging
Gossip algorithms have recently received significant attention, mainly because they constitute simple and robust algorithms for… 
Highly Cited
2005
Highly Cited
2005
Model-driven semantic Web service composition
As the number of available Web services increases there is a growing demand to realise complex business processes by combining… 
Highly Cited
2005
Highly Cited
2005
Enhanced Answer Type Inference from Questions using Sequential Models
Question classification is an important step in factual question answering (QA) and other dialog systems. Several attempts have… 
2005
2005
The Information-Form Data Association Filter
This paper presents a new filter for online data association problems in high-dimensional spaces. The key innovation is a… 
Highly Cited
2002
Highly Cited
2002
Distributed diagnosis for large discrete event dynamic systems
Abstract This paper presents a framework to deal with large systems, which cannot be handled as a whole. We propose to model them… 
2001
2001
Externalising Learner Modelling Representations
Research on inspectable learner models involves the study of representational aspects of the profile that systems maintain about… 
Review
1998
Review
1998
Bayesian Information Criterion for Censored Survival Models 1
We investigate the Bayesian Information Criterion (BIC) for variable selection in models for censored survival data. Kass and… 
Highly Cited
1993
Highly Cited
1993
Virtual Reality Systems
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