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  • 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.

    標簽: sequential reversible algorithm nstrates

    上傳時間: 2014-01-18

    上傳用戶: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.

    標簽: reversible algorithm the nstrates

    上傳時間: 2014-01-08

    上傳用戶:cuibaigao

  • The algorithms are coded in a way that makes it trivial to apply them to other problems. Several gen

    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.

    標簽: algorithms problems Several trivial

    上傳時間: 2014-01-20

    上傳用戶:royzhangsz

  • 3.0V至5.5V、低功耗、1Mbps、真RS-232收發器

    3.0V至5.5V、低功耗、1Mbps、真RS-232收發器,使用四只0.1µ F外部電容.

    標簽: 1Mbps 3.0 232 5.5

    上傳時間: 2016-04-17

    上傳用戶:壞壞的華仔

  • 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] }

    標簽: III_hufman_decode int freqline Granule

    上傳時間: 2013-12-19

    上傳用戶:jjj0202

  • KmdTut是一份以Win32匯編語言來開發Kernel mode驅動程序的教程

    KmdTut是一份以Win32匯編語言來開發Kernel mode驅動程序的教程,讀者可以從http://www.freewebs.com/four-f/下載最新的英文版本,為了使用本教程,你還需要下載Kernel mode驅動程序開發包KmdKit,更多信息請參考http://www.wasm.ru/(很不幸,是俄文的,倒ing~~~) 0.2 關于KmdKit KmdKit的全稱是Kernel Mode Driver development Kit for assembly language programmers,即內核模式驅動程序匯編開發包,KmdKit中包括了用宏匯編編譯器開發驅動程序需要用到的所有東西。 你可以從http://www.wasm.ru/或者http://www.freewebs.com/four-f/下載到最新版本的KmdKit。

    標簽: KmdTut Kernel mode Win

    上傳時間: 2014-01-11

    上傳用戶:Ants

  • This little Program allows you to send commands to the CardReader (CT-BCS) or to the Card itself. F

    This little Program allows you to send commands to the CardReader (CT-BCS) or to the Card itself. First you will be ask to what Port the Reader is connected (0=COM1, 1=COM2). Then the Class-Byte (CLA), Instruction-Byte (INS), Parameter 1 (P1), Parameter 2 (P2). If wou don愒 want to send Parameter 3 (P3) press Ctrl-d (^d). If you enter a number then you have to the Bytes of the Datafield. After the last Byte of the Datafield is entered the whole APDU is send the replay is displayed. After that you can send the next APDU.

    標簽: CardReader the commands to

    上傳時間: 2016-04-23

    上傳用戶:nanxia

  • matlab遺傳算法工具箱函數及實例講解2 【問題】在-5<=Xi<=5,i=1,2區間內

    matlab遺傳算法工具箱函數及實例講解2 【問題】在-5<=Xi<=5,i=1,2區間內,求解 f(x1,x2)=-20*exp(-0.2*sqrt(0.5*(x1.^2+x2.^2)))-exp(0.5*(cos(2*pi*x1)+cos(2*pi*x2)))+22.71282的最小值。

    標簽: matlab lt Xi 算法

    上傳時間: 2013-12-31

    上傳用戶:gtzj

  • 用89S52做的NEC碼的紅外發射程序

    用89S52做的NEC碼的紅外發射程序,其中p10-p17口接按鈕組成標準4*4鍵盤,發射后對應的按鍵解碼為0-F

    標簽: 89S52 NEC 紅外發射 程序

    上傳時間: 2016-05-02

    上傳用戶:wff

  • AppWizard has created this QMPlugin DLL for you. This file contains a summary of what you will f

    AppWizard has created this QMPlugin DLL for you. This file contains a summary of what you will find in each of the files that make up your QMPlugin application.

    標簽: AppWizard you QMPlugin contains

    上傳時間: 2016-05-03

    上傳用戶:壞天使kk

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