WRITE AMD 29LV010 FLASH easy to read and use
上傳時間： 2016-03-30
上傳用戶：wang5829
applet to servlet use to change from applet to servlet
上傳時間： 2014-01-03
上傳用戶：jeffery
H323 ,OCX use Sample program
上傳時間： 2016-03-30
上傳用戶：zhouchang199
AVR MCU Library Classes notes ,use for AVR developpment works.
標簽： developpment AVR Library Classes
上傳時間： 2016-04-03
上傳用戶：silenthink
use dsp to make FAT16 format disk.interface with FLASH Ic.
標簽： interface format FLASH disk
上傳時間： 2016-04-04
上傳用戶：skhlm
show to use C/C++ do system test.
上傳時間： 2016-04-04
上傳用戶：jhksyghr
use MFC to create a QQ dialog to be a beautiful human interface.
標簽： beautiful interface create dialog
上傳時間： 2016-04-04
上傳用戶：yy541071797
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-17
上傳用戶：zhaiyanzhong
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.
標簽： demonstrates sequential Selection Bayesian
上傳時間： 2016-04-07
上傳用戶：lindor
This string-include defines all string functions as inline functions. use gcc. It also assumes ds=es=data space, this should be normal. Most of the string-functions are rather heavily hand-optimized, see especially strtok,strstr,str[c]spn. They should work, but are not very easy to understand. Everything is done entirely within the register set, making the functions fast and clean.
標簽： functions string-include defines assumes
上傳時間： 2014-01-09
上傳用戶：tedo811
