手机文件浏览器 Here are the sources to SMan v1.2c 1.2 is a major jump from v1.1. You will see this from the way the code has been restructured into multiple files. It also supports flip closed. However, to my chagrin, I made the mistake of assuming there will only be one flip closed view. :( That s changed in v1.3 :) 1.3 supports multiple flip closed views that can be easily added into SMan.
上传时间： 2015-03-31
上传用户：彭玖华
This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
标签： This reversible annealing the
上传时间： 2015-07-19
上传用户：ma1301115706
Welcome to the ASTA 3 Help Tutorials. These are documented tutorials that included new user jump start, to file sends to server techniques with non-database servers showing how to use Providers and ServerMethods. A Current version of these tutorials can always be found on line
标签： documented Tutorials tutorials included
上传时间： 2013-12-18
上传用户：gyq
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
peg jump此游戏所用到的相关算法,这是java版本
上传时间： 2013-12-24
上传用户：chenbhdt
peg jump 游戏，里面有文档，有报告，还有代码，基本实现这款游戏要求的所有功能
上传时间： 2013-12-18
上传用户：皇族传媒
设计一类peg jump问题的求解系统，初步掌握智能搜索算法中的盲目搜索和启发式搜索这两类基本方法，同时通过具体的问题体会搜索算法、数据结构、程序设计等知识的综合应用。
上传时间： 2016-12-23
上传用户：kbnswdifs
J-rio is a cool "jump and run " - game!
上传时间： 2013-12-14
上传用户：2525775
MATLAB Tutorial : For the beginners in MATLAB, this example code will provide a great jump start. The code has comprehensive comments to elaborate the functionality explicitly.
标签： MATLAB beginners Tutorial example
上传时间： 2013-12-19
上传用户：lxm
