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» On Markov Chains for Independent Sets
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ISIPTA
2003
IEEE
14 years 27 days ago
On the Symbiosis of Two Concepts of Conditional Interval Probability
This paper argues in favor of the thesis that two different concepts of conditional interval probability are needed, in order to serve the huge variety of tasks conditional probab...
Kurt Weichselberger, Thomas Augustin
LCN
2000
IEEE
14 years 2 hour ago
Nonlinear Time-Series Model for VBR Video Traffic
In this paper, variable bit rate (VBR) H.261 encoded video traffic is modeled by a nonlinear time series process. A threshold autoregressive (TAR) process is of particular interes...
Jimmie L. Davis, Kavitha Chandra, Charles Thompson
ARTS
1999
Springer
13 years 12 months ago
Process Algebra with Probabilistic Choice
Published results show that various models may be obtained by combining parallel composition with probability and with or without non-determinism. In this paper we treat this probl...
Suzana Andova
AUSAI
2006
Springer
13 years 11 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb
NIPS
2008
13 years 9 months ago
Evaluating probabilities under high-dimensional latent variable models
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
Iain Murray, Ruslan Salakhutdinov