<nav id="ussmo"></nav> Bayesian Monte Carlo Signal Processing For Wireless Communication
標(biāo)簽： Communication Processing Bayesian Wireless
上傳時間： 2013-12-07
上傳用戶：qweqweqwe
Bayesian Monte Carlo Signal Processing For Wireless Communication
標(biāo)簽： Communication Processing Bayesian Wireless
上傳時間： 2014-01-09
上傳用戶：BIBI
Bayesian Surprise Toolkit for Matlab T. Nathan Mundhenk, Laurent Itti
標(biāo)簽： T. Bayesian Surprise Mundhenk
上傳時間： 2013-12-21
上傳用戶：yimoney
Bayesian網(wǎng)絡(luò)工具箱.
標(biāo)簽： Bayesian 網(wǎng)絡(luò) 工具箱
上傳時間： 2013-12-12
上傳用戶：wangyi39
Bayesian Filtering Classe C++source
標(biāo)簽： Filtering Bayesian Classe source
上傳時間： 2013-12-09
上傳用戶：wanqunsheng
Bayesian Model Selection
標(biāo)簽： Selection Bayesian Model
上傳時間： 2016-03-03
上傳用戶：鳳臨西北
gaussian algorithm for Bayesian Model Selection
標(biāo)簽： algorithm Selection gaussian Bayesian
上傳時間： 2016-03-03
上傳用戶：6546544
smcdemo1 for Bayesian Model Selection
標(biāo)簽： Selection smcdemo1 Bayesian Model
上傳時間： 2016-03-03
上傳用戶：gonuiln
smcrbf Bayesian Model
標(biāo)簽： Bayesian smcrbf Model
上傳時間： 2014-08-08
上傳用戶：愛死愛死
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.
標(biāo)簽： demonstrates sequential Selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
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