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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.
2013
2013
Effective Arabic Stemmer Based Hybrid Approach for Arabic Text Categorization
M. Hadni
,
S. Ouatik
,
Abdelmonaime Lachkar
2013
Corpus ID: 2771859
Text pre-processing of Arabic Language is a challenge and crucial stage in Text Categorization (TC) particularly and Text Mining…
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2013
2013
JPEG Steganalysis With High-Dimensional Features and Bayesian Ensemble Classifier
Fengyong Li
,
Xinpeng Zhang
,
Bin Chen
,
Guorui Feng
IEEE Signal Processing Letters
2013
Corpus ID: 15915123
This work proposes a JPEG steganalytic scheme based on high-dimensional features and Bayesian ensemble classifier. The proposed…
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2004
2004
Automatic determination of acoustic model topology using variational Bayesian estimation and clustering for large vocabulary continuous speech recognition
Shinji Watanabe
,
Atsushi Sako
,
Atsushi Nakamura
IEEE Transactions on Audio, Speech, and Language…
2004
Corpus ID: 2639062
We describe the automatic determination of a large and complicated acoustic model for speech recognition by using variational…
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Review
2003
Review
2003
Bayesian Network-Based Trust Model in Peer-to-Peer Networks
Yao Wang
,
Julita Vassileva
2003
Corpus ID: 6043009
In this paper, we first review trust and reputation mechanisms from different perspectives. Then we propose a Bayesian network…
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2002
2002
Exploiting variances in robust feature extraction based on a parametric model of speech distortion
L. Deng
,
J. Droppo
,
A. Acero
Interspeech
2002
Corpus ID: 6209253
This paper presents a technique that exploits the denoised speech’s variance, estimated during the speech feature enhancement…
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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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2000
2000
Predictive Data Mining : Practical Examples
S. Velickov
,
D. Solomatine
2000
Corpus ID: 6798225
The paper addresses some theoretical and practical aspects of data mining, focusing on predictive data mining, where two central…
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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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1993
1993
Diamon: a model-based troubleshooter based on qualitative reasoning
F. Lackinger
,
W. Nejdl
IEEE Expert
1993
Corpus ID: 52873125
Diamon, a diagnosis and monitoring system for troubleshooting dynamic systems, is discussed. The Diamon algorithm combines…
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1983
1983
Bayesian adaptation in speech recognition
P. Brown
,
Chin-Hui Lee
,
J. Spohrer
IEEE International Conference on Acoustics…
1983
Corpus ID: 28985313
In order to achieve state-of-the-art performance in a speaker-dependent speech recognition task, it is necessary to collect a…
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