Bayesian Monte Carlo Signal Processing For Wireless Communication
标签： Communication Processing Bayesian Wireless
上传时间： 2013-12-07
上传用户：qweqweqwe
Bayesian Monte Carlo Signal Processing For Wireless Communication
标签： Communication Processing Bayesian Wireless
上传时间： 2014-01-09
上传用户：BIBI
Bayesian Surprise Toolkit for Matlab T. Nathan Mundhenk, Laurent Itti
标签： T. Bayesian Surprise Mundhenk
上传时间： 2013-12-21
上传用户：yimoney
Bayesian网络工具箱.
上传时间： 2013-12-12
上传用户：wangyi39
Bayesian Filtering Classe C++source
标签： Filtering Bayesian Classe source
上传时间： 2013-12-09
上传用户：wanqunsheng
Bayesian Model Selection
上传时间： 2016-03-03
上传用户：凤临西北
gaussian algorithm for Bayesian Model Selection
标签： algorithm Selection gaussian Bayesian
上传时间： 2016-03-03
上传用户：6546544
smcdemo1 for Bayesian Model Selection
标签： Selection smcdemo1 Bayesian Model
上传时间： 2016-03-03
上传用户：gonuiln
smcrbf Bayesian Model
上传时间： 2014-08-08
上传用户：爱死爱死
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
