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  • On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl

    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.

    标签: demonstrates sequential Selection Bayesian

    上传时间: 2016-04-07

    上传用户:lindor

  • This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t

    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 hier

    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

  • void III_hufman_decode(struct Granule *gr,int part2_start, int freqline[SBLIMIT][SSLIMIT]) {

    void III_hufman_decode(struct Granule *gr,int part2_start, int freqline[SBLIMIT][SSLIMIT]) { unsigned int reg1, reg2,i unsigned int part3_length = part2_start + gr->part2_3_length unsigned used int h,*f=&freqline[0][0] if(gr->window_switching_flag && gr->block_type == 2) { /* short block regions */ reg1 = 36 reg2 = 576 } else { /* long block regions */ reg1 = sfBandIndex[fr_ps.header->sampling_frequency].l[gr->region0_count + 1] reg2 = sfBandIndex[fr_ps.header->sampling_frequency].l[gr->region0_count + gr->region1_count + 2] }

    标签: III_hufman_decode int freqline Granule

    上传时间: 2013-12-19

    上传用户:jjj0202

  • The SST89E516RDx and SST89V516RDx are members of the FlashFlex51 family of 8-bit microcontroller pr

    The SST89E516RDx and SST89V516RDx are members of the FlashFlex51 family of 8-bit microcontroller products designed and manufactured with SST’s patented and proprietary SuperFlash CMOS semiconductor process technology. The split-gate cell design and thick-oxide tunneling injector offer significant cost and reliability benefits for SST’s customers. The devices use the 8051 instruction set and are pin-for-pin compatible with standard 8051 microcontroller devices.

    标签: microcontroller SST 516 RDx

    上传时间: 2014-01-08

    上传用户:笨小孩

  • BLDC无刷电机的C控制源码

    BLDC无刷电机的C控制源码,5部分组成:1.bldc.c 2.ac.c 3.wm.c 4.hsensor.c 5.timer1.c 和a header file (bldc.h)

    标签: BLDC 无刷电机 控制 源码

    上传时间: 2014-11-03

    上传用户:13160677563

  • ** File name: target.h ** Last modified Date: 2004-09-17 ** Last Version: 1.0 ** Description

    ** File name: target.h ** Last modified Date: 2004-09-17 ** Last Version: 1.0 ** Descriptions: header file of the specific codes for LPC2100 target boards ** Every project should include a copy of this file, user may modify it as ne

    标签: Last Description modified Version

    上传时间: 2014-05-30

    上传用户:wanghui2438

  • 1.本目录存放了演示自定义标签开发与使用的web应用程序

    1.本目录存放了演示自定义标签开发与使用的web应用程序,可以直接部署到应用服务器并运行。 2.shopping存放了电子商店程序,该程序的header.jsp使用自定义标签显示当前系统日期。 3.tag存放演示传统标签开发与使用的例程序。 4.simple存放演示简单标签开发与使用的例程序。由于WebLogic Server8.1不支持JSP2.0,所以simple程序不能在WebLogic Server8.1下运行。

    标签: web 目录 标签 应用程序

    上传时间: 2013-12-17

    上传用户:yuanyuan123

  • SOPC实验--Hello World实验:启动Quartus II软件

    SOPC实验--Hello World实验:启动Quartus II软件,选择File→New Project Wizard,在出现的对话框中填写项目名称 2、 点击Finish,然后选择“是”。选择Assignments→Device,改写各项内容。Family改为CycloneII,根据实验板上的器件选择相应的器件,本实验选择EP2C5T144C8,点击对话框中的Device & Pin Options,在Configuration中,选项Use Configuration Device为EPCS1,选项Unused Pins为As inputs,tri-stated.

    标签: Quartus Hello World SOPC

    上传时间: 2014-01-13

    上传用户:梧桐

  • The Hardware Book contains misc technical information about computers and other electronic devices

    The Hardware Book contains misc technical information about computers and other electronic devices. You ll find the pin out to most common (and uncommon) connectors availble, as well as info about how to build cables.

    标签: information electronic computers technical

    上传时间: 2013-11-30

    上传用户:cc1015285075