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Bayesian network

Known as: Bayesian belief network, Belief networks, Bayes net 
A Bayesian network, Bayes network, belief network, Bayes(ian) model or probabilistic directed acyclic graphical model is a probabilistic graphical… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
Deep neural networks have been widely fostered throughout the last years, primarily on account of their outstanding performance… 
Highly Cited
2009
Highly Cited
2009
An automatic tool to assist the interpretation of single photon emission computed tomography (SPECT) and positron emission… 
Highly Cited
2002
Highly Cited
2002
Generally, the intruder must perform several actions, organized in an intrusion scenario, to achieve his or her malicious… 
Highly Cited
2001
Highly Cited
2001
We present near-IR (J and Ks) number counts and colors of galaxies detected in deep VLT-ISAAC images centered on the Chandra Deep… 
Highly Cited
1998
Highly Cited
1998
For pt.I see ibid., p.1431-45 (1998). The authors present Gibbs-Markov random field (GMRF) models as a powerful and robust… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1995
Highly Cited
1995
  • P. Buchholz
  • 1995
  • Corpus ID: 12980518
Highly Cited
1995
Highly Cited
1995
In previous work, we showed how to constrain the estimation of continuous mixture-density hidden Markov models (HMMs) when the… 
Highly Cited
1992
Highly Cited
1990