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Bayesian network
Known as:
Bayesian belief network
, Belief networks
, Bayes net
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A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical…
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Related topics
Related topics
50 relations
Abductive reasoning
Artificial Intelligence
Bayesian programming
Bioinformatics
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
From a User-created Corpus of Virtual Agent's Non-verbal Behavior to a Computational Model of Interpersonal Attitudes
Brian Ravenet
,
M. Ochs
,
C. Pelachaud
International Conference on Intelligent Virtual…
2013
Corpus ID: 9397132
Human’s non-verbal behavior may convey different meanings. They can reflect one’s emotional states, communicative intentions but…
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Highly Cited
2010
Highly Cited
2010
Cell segmentation in microscopy imagery using a bag of local Bayesian classifiers
Zhaozheng Yin
,
Ryoma Bise
,
Mei Chen
,
T. Kanade
IEEE International Symposium on Biomedical…
2010
Corpus ID: 5054914
Cell segmentation in microscopy imagery is essential for many bioimage applications such as cell tracking. To segment cells from…
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Highly Cited
2004
Highly Cited
2004
Bayesian methods for multiaspect target tracking in image sequences
Marcelo G. S. Bruno
IEEE Transactions on Signal Processing
2004
Corpus ID: 8462829
In this paper, we introduce new algorithms for automatic tracking of multiaspect targets in cluttered image sequences. We depart…
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Highly Cited
2004
Highly Cited
2004
Spatial hierarchical Bayesian models for stock-recruitment analysis of pink salmon (Oncorhynchus gorbuscha)
Zhenming Su
,
R. Peterman
,
S. Haeseker
2004
Corpus ID: 54173246
To improve the understanding of effects of environmental factors on spawner-to-recruit survival rates of pink salmon…
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Highly Cited
2001
Highly Cited
2001
Color and Number Counts
P. Saracco
,
E. Giallongo
,
+5 authors
E. Vanzella
2001
Corpus ID: 16018505
We present near-IR (J and Ks) number counts and colors of galaxies detected in deep VLT-ISAAC images centered on the Chandra Deep…
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Highly Cited
1998
Highly Cited
1998
Spatial information retrieval from remote-sensing images. II. Gibbs-Markov random fields
Michael Schröder
,
H. Rehrauer
,
K. Seidel
,
M. Datcu
IEEE Transactions on Geoscience and Remote…
1998
Corpus ID: 17100437
For pt.I see ibid., p.1431-45 (1998). The authors present Gibbs-Markov random field (GMRF) models as a powerful and robust…
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Highly Cited
1997
Highly Cited
1997
Models and Selection Criteria for Regression and Classification
D. Heckerman
,
Christopher Meek
Conference on Uncertainty in Artificial…
1997
Corpus ID: 5080990
When performing regression or classification, we are interested in the conditional probability distribution for an outcome or…
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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Highly Cited
1992
Highly Cited
1992
Bayesian Diagnosis in Expert Systems
G. Kleiter
Artificial Intelligence
1992
Corpus ID: 46580117
Highly Cited
1984
Highly Cited
1984
Bayesian adaptive filter for tracking with measurements of uncertain origin
M. Gauvrit
at - Automatisierungstechnik
1984
Corpus ID: 20084986
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