131 search results - page 3 / 27 » Bayesian probabilistic matrix factorization using Markov cha... |
IPSN
2004
Springer
14 years 1 months ago
2004
Springer
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
TCBB
2010
13 years 2 months ago
2010
Markov chain Monte Carlo has been the standard technique for inferring the posterior distribution of genome rearrangement scenarios under a Bayesian approach. We present here a neg...
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
ICC
2009
IEEE
14 years 2 months ago
2009
IEEE
— In this paper, we propose a novel low complexity soft-in soft-out (SISO) equalizer using the Markov chain Monte Carlo (MCMC) technique. Direct application of MCMC to SISO equal...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
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...