In 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(biāo)簽：
Rao-Blackwellised
conditional
filtering
particle
上傳時(shí)間：
2013-12-14
上傳用戶：小儒尼尼奧
