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
The algorithms are coded in a way that makes it TRivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
标签： algorithms problems Several TRivial
上传时间： 2014-01-20
上传用户：royzhangsz
看n2实例 #Create a simulator object set ns [new Simulator] #Define different colors for data flows #$ns color 1 Blue #$ns color 2 Red #Open the nam TRace file set nf [open out-1.nam w] $ns namTRace-all $nf set f0 [open out0.TR w] set f1 [open out1.TR w] #Define a finish procedure proc finish {} { global ns nf $ns flush-TRace #Close the TRace file close $nf #Execute nam on the TRace file exit 0 } #Create four nodes set n0 [$ns node] set n1 [$ns node] set n2 [$ns node] set n3 [$ns node] #Create links between the nodes $ns duplex-link $n0 $n2 1Mb 10ms
标签： simulator Simulator different Create
上传时间： 2016-07-02
上传用户：wfl_yy
SoftTimer.h 利用定时器T2模拟多个软件定时器 特点： 只占用一个硬件定时器T2，就可以扩展出多达数十个以上的软件定时器 软件定时器基本定时单位是10ms，定时范围很宽：0.01～163.84s 软件定时器数量可以按需要设定，每增加一个，只多消耗2个字节的RAM空间 利用定时器T2的自动重装特性，能够实现所有软件定时器的精确定时 所有软件定时器都工作在14位倒计时方式，用TR和TF位控制，使用极为方便 第0号定时器专门用于Delay()函数，其它定时器可供用户程序自由使用
上传时间： 2014-01-16
上传用户：黑漆漆
linux,Unix,shell编程详细说明。本书内容全面，包括了awk, sed, TR等常用工具的用法，对于shell初学者是不可多得的好书。
上传时间： 2016-09-04
上传用户：cccole0605
linux,shell编程。讲解详细，包括awk,sed,TR等工具的使用。对于初学者而言，非常有帮助。
上传时间： 2013-12-17
上传用户：www240697738
linux,shell编程。讲解详细，包括awk,sed,TR等工具的使用。对于初学者而言，非常有帮助。
上传时间： 2014-01-01
上传用户：小码农lz
e3TRee开发文档，e3TRee的使用手册，协助开发高效率的TR
上传时间： 2016-09-22
上传用户：731140412
《An InTRoduction to Ant Colony Optimization》 作者：Marco Dorigo and Krzysztof Socha 时间：Technical Report No.TR/IRIDIA/2006-010April 2006 一份介绍蚁群系统的英文原版论文报告
标签： InTRoduction Optimization Krzysztof Technical
上传时间： 2013-12-12
上传用户：heart520beat
