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» On the efficiency of adaptive MCMC algorithms
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VALUETOOLS
2006
ACM
110views Hardware» more  VALUETOOLS 2006»
13 years 10 months ago
On the efficiency of adaptive MCMC algorithms
Christophe Andrieu, Y. F. Atchadé
ICIP
2004
IEEE
14 years 6 months ago
Efficient proposal distributions for MCMC image segmentation
We present methods to obtain computationally efficient proposal distributions for Bayesian reversible jump Markov chain Monte Carlo (RJMCMC) based image segmentation. The slow con...
Timo Kostiainen, Jouko Lampinen
ICML
2010
IEEE
13 years 5 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
CSDA
2007
172views more  CSDA 2007»
13 years 4 months ago
AMCMC: An R interface for adaptive MCMC
We describe AMCMC, a software package for running adaptive MCMC algorithms on user-supplied density functions. AMCMC provides the user with an R interface, which in turn calls C pr...
Jeffrey S. Rosenthal
LKR
2008
13 years 6 months ago
Identification of MCMC Samples for Clustering
Abstract. For clustering problems, many studies use just MAP assignments to show clustering results instead of using whole samples from a MCMC sampler. This is because it is not st...
Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato