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» A Markov Chain Model of the B-Cell Algorithm
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STOC
2009
ACM
137views Algorithms» more  STOC 2009»
14 years 8 months ago
Mixing time for the solid-on-solid model
We analyze the mixing time of a natural local Markov chain (the Glauber dynamics) on configurations of the solid-onsolid model of statistical physics. This model has been proposed...
Fabio Martinelli, Alistair Sinclair
ICML
2009
IEEE
14 years 2 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
TIFS
2010
128views more  TIFS 2010»
13 years 5 months ago
Steganalysis by subtractive pixel adjacency matrix
This paper presents a novel method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which...
Tomás Pevný, Patrick Bas, Jessica J....
VOSS
2004
Springer
118views Mathematics» more  VOSS 2004»
14 years 25 days ago
Serial Disk-based Analysis of Large Stochastic Models
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
Rashid Mehmood
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 5 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert