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[Other resource] upf_ekf_ukf_epf_demos

Description: 关于pf，ekf，ukf，upf，epf，并加上mcmc算法
Platform: | Size: 64065 | Author: wang meng | Hits:

[Other resource] ssmcmcmatlab

Description: semi-supervised MCMC classification
Platform: | Size: 20148 | Author: 刘国亮 | Hits:

[File Operate] A_MCMC_approach_for_Bayesian_super-resolution_imag

Description: MCMC方法的超分辨paper，此论文是已贝叶斯统计论文为基础，是另一种很有效的sr方法
Platform: | Size: 110656 | Author: gba | Hits:

Description: the C++ library named QHQ++ which includes four sub libraries QHQc++ (C++ Numerical Library), QHQmcmc++ (MCMC algorithms), QHQsv++ (Stochastic Volatility Model) and QHQyv++ (Yield Curve Modeling).
Platform: | Size: 1580487 | Author: 徐剑 | Hits:

[Other resource] rjMCMCsa

Description: 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.
Platform: | Size: 16422 | Author: 徐剑 | Hits:

[Other resource] On-Line_MCMC_Bayesian_Model_Selection

Description: This demo nstrates 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.
Platform: | Size: 220044 | Author: 晨间 | Hits:

[Other resource] Reversible_Jump_MCMC_Bayesian_Model_Selection

Description: This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type \"tar -xf rjMCMC.tar\" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type \"rjdemo1\". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
Platform: | Size: 348783 | Author: 晨间 | Hits:

[Other resource] MCMC

Description: 这是马尔可夫-蒙特卡罗算法的MATLAB源程序.
Platform: | Size: 136771 | Author: liufanmao | Hits:

[Other resource] msvar

Description: MCMC（马尔可夫－盟特卡罗方法）实现的程序
Platform: | Size: 33079 | Author: chenzhuo | Hits:

[Mathimatics-Numerical algorithms] 27796735particlefilter-mcmc

Description: 大家可以参考的例子滤波源码，程序非常好用，能里脊肉粒子滤波的基础
Platform: | Size: 14850 | Author: 周迎 | Hits:

[WEB Code] mcmc1

Description: 这是Los Alamos国家实验室的关于mcmc（马尔科夫链蒙特卡洛法）的简明教程，适合于刚刚接触到这一领域的朋友会有一些帮助。
Platform: | Size: 288151 | Author: pengs | Hits:

[WEB Code] mcmc2

Description: 这是Southampton大学的关于mcmc（马尔科夫链蒙特卡洛法）的简明教程，适合于刚刚接触到这一领域的朋友会有一些帮助。
Platform: | Size: 120316 | Author: pengs | Hits:

[WEB Code] mcmc3

Description: 这是Calgary大学的关于mcmc（马尔科夫链蒙特卡洛法）的简明教程，适合于刚刚接触到这一领域的朋友会有一些帮助。
Platform: | Size: 464748 | Author: pengs | Hits:

[Other resource] 87361032particle-filter-mcmc

Description: 针对无线传感器网络的节点的追踪算法matlab仿真。
Platform: | Size: 14805 | Author: 王东 | Hits:

[Compress-Decompress algrithms] mcmc

Description: 马尔科夫链蒙特卡洛模拟的matlab源代码
Platform: | Size: 16276 | Author: 左秀霞 | Hits:

[Program doc] 头部定位

Description: Segmentingindividualhumansinahigh-densityscene(e.g.,acrowd)acquiredfromastaticcameraischallengingmainly duetoobjectinter-occlusion(Fig.1).We dene this proble mas a“model-asedsegmentation”problemandthesolutionisob- tainedusingaMarkovchainMonteCarlo(MCMC)approach. Knowledgeofvariousaspectsincludinghumanshape,human height,cameramodel,andimagecuesincludinghumanhead candidates,foreground/backgroundseparationareintegrated inaBayesianframework.Weshowpromisingresultsonsome challengingdata.
Platform: | Size: 651607 | Author: leremy163@163.com | Hits:

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