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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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2013
2013
Text pre-processing of Arabic Language is a challenge and crucial stage in Text Categorization (TC) particularly and Text Mining… 
2011
2011
Data mining is the process of extracting hidden knowledge from the large data repositories. In data mining, there are several… 
Review
2003
Review
2003
In this paper, we first review trust and reputation mechanisms from different perspectives. Then we propose a Bayesian network… 
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… 
2000
2000
The paper addresses some theoretical and practical aspects of data mining, focusing on predictive data mining, where two central… 
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
1997
Highly Cited
1997
Retrieving images from very large collections using image content as a key is becoming an important problem. Classifying images… 
Highly Cited
1995
Highly Cited
1995
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
1993
1993
Diamon, a diagnosis and monitoring system for troubleshooting dynamic systems, is discussed. The Diamon algorithm combines… 
1983
1983
In order to achieve state-of-the-art performance in a speaker-dependent speech recognition task, it is necessary to collect a…