亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频

蟲蟲首頁| 資源下載| 資源專輯| 精品軟件
登錄| 注冊

您現在的位置是:蟲蟲下載站 > 資源下載 > 人工智能/神經網絡 > 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 Carl

資 源 簡 介

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.

相 關 資 源

主站蜘蛛池模板: 清苑县| 轮台县| 喀喇沁旗| 嘉定区| 武邑县| 岚皋县| 岳阳县| 宽城| 商城县| 通河县| 双柏县| 兴宁市| 金平| 大化| 明水县| 吴桥县| 吉林省| 恩平市| 砚山县| 宿迁市| 基隆市| 沈丘县| 张家口市| 齐齐哈尔市| 罗田县| 石棉县| 绥江县| 元朗区| 理塘县| 丹江口市| 胶南市| 奉化市| 饶平县| 高台县| 林州市| 东丽区| 玉山县| 甘肃省| 宣武区| 邵武市| 桓台县|