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» An Improved LAZY-AR Approach to Bayesian Network Inference
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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 10 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
16 years 5 days ago
Soccer Highlight Detection using Two-Dependence Bayesian Network
Soccer highlight detection is an active research topic in recent years. One of the difficult problems is how to effectively fuse multi-modality cues, i.e. audio, visual and textu...
Jianguo Li, Tao Wang, Wei Hu, Mingliang Sun, Yimin...
ICML
2009
IEEE
16 years 7 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
MINENET
2006
ACM
16 years 3 days ago
Diagnosis of TCP overlay connection failures using bayesian networks
When failures occur in Internet overlay connections today, it is difficult for users to determine the root cause of failure. An overlay connection may require TCP connections bet...
George J. Lee, Lindsey Poole
PR
2011
15 years 1 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos