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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
2019
Highly Cited
2019
Soft-Tempering Deep Belief Networks Parameters Through Genetic Programming
Gustavo H. de Rosa
,
J. P. Papa
Journal of Artificial Intelligence and Systems
2019
Corpus ID: 199584197
Deep neural networks have been widely fostered throughout the last years, primarily on account of their outstanding performance…
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Highly Cited
2009
Highly Cited
2009
Automatic tool for Alzheimer's disease diagnosis using PCA and Bayesian classification rules
M. López
,
J. Ramírez
,
+4 authors
C. Puntonet
2009
Corpus ID: 18023982
An automatic tool to assist the interpretation of single photon emission computed tomography (SPECT) and positron emission…
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Highly Cited
2002
Highly Cited
2002
Correlation in an intrusion detection process
F. Cuppens
,
F. Autrel
,
A. Miège
,
S. Benferhat
2002
Corpus ID: 1000009
Generally, the intruder must perform several actions, organized in an intrusion scenario, to achieve his or her malicious…
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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
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
1995
Highly Cited
1995
Hierarchical Markovian Models: Symmetries and Reduction
P. Buchholz
Performance evaluation (Print)
1995
Corpus ID: 12980518
Highly Cited
1995
Highly Cited
1995
A comparative study of speaker adaptation techniques
L. Neumeyer
,
Ananth Sankar
,
V. Digalakis
EUROSPEECH
1995
Corpus ID: 18893293
In previous work, we showed how to constrain the estimation of continuous mixture-density hidden Markov models (HMMs) when the…
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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
1990
Highly Cited
1990
Mapping rule-based systems into neural architecture
L. Fu
,
L. Fu
Knowledge-Based Systems
1990
Corpus ID: 1373412
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