The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generic and suitable for any application. For details, please refer to Rao-Blackwellised Particle Filtering for Fault Diagnosis and On Sequential Simulation-Based Methods for Bayesian Filtering After downloading the file, type "tar -xf demo_rbpf_gauss.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab and run the demo.
標簽： filtering particle Blackwellised conditionall
上傳時間： 2014-12-05
上傳用戶：410805624
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.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-14
上傳用戶：小儒尼尼奧
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
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 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 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
--- --- ----- 1、界面更友善 2、優化主代碼 3、更新熱門詞 4、增加搜索排行榜 5、修正切換搜索引擎時左欄不會隨所選引擎自動變換問題 例：原http://so.ok881.com/go.asp?Key=唱得響亮&NO=9（這時左欄處于“網頁”分類目錄） 當將NO=9換成NO=101 時，左欄能自動切換到“影視”分類目錄 6、增加相關搜索關鍵詞 （經測試此功能所得關鍵詞會大量被搜索引擎收錄） ^_^ 驚喜中... 7、增加知識搜索、行情搜索； 8、更新免費搜索代碼，提供多種尺寸及顏色選擇。
上傳時間： 2016-04-20
上傳用戶：onewq
Sqlserver2000壓力測試 數據庫請自己建，附腳本。不懂的可以發郵件問我：killwolf@163.com 10萬 109640ms 插入 23078ms 清空 20萬 216281ms 8391馬上 40萬： 416781 9381 if exists (select * from dbo.sysobjects where id = object_id(N [dbo].[StuInfo] ) and OBJECTPROPERTY(id, N IsUserTable ) = 1) drop table [dbo].[StuInfo] GO CREATE TABLE [dbo].[StuInfo] ( [StuID] [float] NULL ) ON [PRIMARY] GO
上傳時間： 2016-05-08
上傳用戶：lht618
起泡法源代碼，VC實現，請大家多多指教。記得一頂要發回言
標簽： 源代碼
上傳時間： 2014-01-02
上傳用戶：chenxichenyue
Java來 自 于Sun公 司 的 一 個 叫Green的 項 目， 其 原 先 的 目 的 是 為 家 用 消 費 電 子 產 品 開 發 一 個 分 布 式 代 碼 系 統， 這 樣 我 們 可 以 把E-mail發 給 電 冰 箱、 電 視 機 等 家 用 電 器， 對 它 們 進 行 控 制， 和 它 們 進 行 信 息 交 流。 開 始， 準 備 采 用C++,但C++太 復 雜， 安 全 性 差， 最 后 基 于C++開 發 一 種 新 的 語 言Oak(Java的 前 身)，Oak是 一 種 用 于 網 絡 的 精 巧 而 安 全 的 語 言，Sun公 司 曾 依 此 投 標 一 個 交 互 式 電 視 項 目， 但 結 果 是 被SGI打 敗。 可 憐 的Oak幾 乎 無 家 可 歸， 恰 巧 這 時Mark Ardreesen開 發 的Mosaic和Netscape啟 發 了Oak項 目 組 成 員， 他 們 用Java編 制 了HotJava瀏 覽 器， 得 到 了Sun公 司 首 席 執 行 官Scott McNealy的 支 持， 觸 發 了Java進 軍Internet。 Java的 取 名 也 有 一 個 趣 聞， 有 一 天， 幾 位Java成 員 組 的 會 員 正 在 討 論 給 這 個 新 的 語 言 取 什 么 名 字， 當 時 他 們 正 在 咖 啡 館 喝 著 Java(爪 哇) 咖 啡， 有 一 個 人 靈 機 一 動 說 就 叫Java怎 樣， 得 到 了 其 他 人 的 贊 賞， 于 是，Java這 個 名 字 就 這 樣 傳 開 了。
上傳時間： 2014-01-21
上傳用戶：李彥東
