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.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
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.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
monte carlo 仿真英文电子书 AGuidetoMonteCarloSimulATionsinStatisticalPhysics,Second EditionThis new and updated deals with all aspects of Monte Carlo SimulATion ofcomplexphysicalsystemsencounteredincondensed-matterphysicsandsta-tistical mechanics as well as in related ?elds, for example polymer science,lattice gauge theory and protein folding
标签： AGuidetoMonteCarloSimulATionsinSt atisticalPhysics EditionThis Second
上传时间： 2016-04-25
上传用户：xmsmh
This folder has some scritps that you may find usefull. All of it comes from questions that I ve received in my email. If you have a new request/question, feel free to send it to marceloperlin@gmail.com. But please, don t ask me to do your homework. Passing_your_param0 This folder contains instructions (and m files) for passing you own initial parameters to the fitting function. I also included a simple SimulATion script that will create random initial coefficients (under the proper bounds) and fit the model to the data.
标签： that questions scritps usefull
上传时间： 2013-12-28
上传用户：netwolf
数字图像处理基础理论，英文资料Restoration and Enhancement Space Pictures (blurred, noisy, distorted) Computerized Tomography Coding Transmission – Teleconferencing Storage – Land SAT Images Pattern Recognition Blood Cell Analysis Remote Sensing Robotic Vision Computer Graphics Flight SimulATion Auto Body Design Special Effect in Movie
标签： 数字图像处理
上传时间： 2014-06-30
上传用户：plsee
pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo SimulATion codes.
标签： multi-core toolsbox parallel pMatlab
上传时间： 2014-12-05
上传用户：zhliu007
Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent SimulATion tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge
标签： communications simulating scripting digital
上传时间： 2014-01-02
上传用户：plsee
Sequential Monte Carlo without Likelihoods 粒子滤波不用似然函数的情况下 本文摘要:Recent new methods in Bayesian SimulATion have provided ways of evaluating posterior distributions in the presence of analytically or computationally intractable likelihood functions. Despite representing a substantial methodological advance, existing methods based on rejection sampling or Markov chain Monte Carlo can be highly inefficient, and accordingly require far more iterations than may be practical to implement. Here we propose a sequential Monte Carlo sampler that convincingly overcomes these inefficiencies. We demonstrate its implementation through an epidemiological study of the transmission rate of tuberculosis.
标签： Likelihoods Sequential Bayesian without
上传时间： 2016-05-26
上传用户：离殇
Matlab environment based on the independent component analysis (ICA) is the imagie mixed with the separation of SimulATion program
标签： the environment independent component
上传时间： 2014-08-10
上传用户：shinesyh
本程序包为导弹比例导引仿真计算程序，展现了MATLAB利用MEX接口与Visual C++的完美结合。 关键词： 导弹 弹道 比例导引 仿真 MEX missile SimulATion png guidance
上传时间： 2014-11-28
上传用户：dapangxie
