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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 graph
Artificial neural network
Autoencoder
Bayesian network
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
High-Fidelity Prototyping of Interactive Systems Can Be Formal Too
Philippe A. Palanque
,
Jean-François Ladry
,
D. Navarre
,
Eric Barboni
Interacción
2009
Corpus ID: 19606534
The design of safety critical systems calls for advanced software engineering models, methods and tools in order to meet the…
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Review
2007
Review
2007
Software for Graphical models : a review by
Kevin P. Murphy
2007
Corpus ID: 658779
Graphical models (GMs) are a way to represent conditional independence assumptions by using graphs. Specifically, nodes represent…
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2007
2007
A Probabilistic Framework for Answer Selection in Question Answering
Jeongwoo Ko
,
Luo Si
,
Eric Nyberg
North American Chapter of the Association for…
2007
Corpus ID: 13118529
This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using…
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Highly Cited
2005
Highly Cited
2005
Enhanced Answer Type Inference from Questions using Sequential Models
Vijay Krishnan
,
Sujatha Das Gollapalli
,
Soumen Chakrabarti
Human Language Technology - The Baltic Perspectiv
2005
Corpus ID: 2798005
Question classification is an important step in factual question answering (QA) and other dialog systems. Several attempts have…
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Highly Cited
2005
Highly Cited
2005
Model-driven semantic Web service composition
Roy Grønmo
,
M. Jäger
Asia-Pacific Software Engineering Conference
2005
Corpus ID: 17077241
As the number of available Web services increases there is a growing demand to realise complex business processes by combining…
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2005
2005
The Information-Form Data Association Filter
Brad Schumitsch
,
S. Thrun
,
Gary R. Bradski
,
K. Olukotun
Neural Information Processing Systems
2005
Corpus ID: 17136762
This paper presents a new filter for online data association problems in high-dimensional spaces. The key innovation is a…
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Highly Cited
2002
Highly Cited
2002
Distributed diagnosis for large discrete event dynamic systems
É. Fabre
,
A. Benveniste
,
C. Jard
2002
Corpus ID: 10390056
Abstract This paper presents a framework to deal with large systems, which cannot be handled as a whole. We propose to model them…
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2001
2001
Externalising Learner Modelling Representations
Juan-Diego Zapata-Rivera
,
J. Greer
2001
Corpus ID: 16711986
Research on inspectable learner models involves the study of representational aspects of the profile that systems maintain about…
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Highly Cited
1993
Highly Cited
1993
Virtual Reality Systems
R. Earnshaw
,
M. Gigante
,
H. Jones
1993
Corpus ID: 107580189
Highly Cited
1989
Highly Cited
1989
Limitations on Inductive Learning
Thomas G. Dietterich
ML Workshop
1989
Corpus ID: 8848205
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