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ICASSP
2011
IEEE
12 years 9 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
ACG
2009
Springer
13 years 12 months ago
Monte-Carlo Tree Search in Settlers of Catan
Abstract. Games are considered important benchmark tasks of artificial intelligence research. Modern strategic board games can typically be played by three or more people, which m...
Istvan Szita, Guillaume Chaslot, Pieter Spronck
JMLR
2010
173views more  JMLR 2010»
13 years 3 days ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
GLOBECOM
2008
IEEE
13 years 11 months ago
Low-Complexity Hybrid QRD-MCMC MIMO Detection
In this paper, we propose a novel hybrid QRD-MCMC MIMO detector that combines the feature of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm i...
Ronghui Peng, Koon Hoo Teo, Jinyun Zhang, Rong-Ron...
SODA
2010
ACM
200views Algorithms» more  SODA 2010»
14 years 2 months ago
Algorithms for ray class groups and Hilbert class fields
This paper analyzes the complexity of problems from class field theory. Class field theory can be used to show the existence of infinite families of number fields with constant ro...
Sean Hallgren, Kirsten Eisentraeger