代码搜索:Statistical

找到约 1,108 项符合「Statistical」的源代码

代码结果 1,108
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txt gridsim_stat.txt

/** * Author: Anthony Sulistio * Date: April 2003 * Description: This file contains statistical data produced during the GridSim * simulation. This file got created when a program,
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m contents.m

% Statistical learning methods. % % Included directories (implementing algorithms): % minimax - (dir) Minimax learning algorithm. % unsuper - (dir) Unsupervised learning methods, EM algori
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m contents.m

% Statistical learning methods. % % Included directories (implementing algorithms): % minimax - (dir) Minimax learning algorithm. % unsuper - (dir) Unsupervised learning methods, EM algori
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m mboxtest.m

function [MBox] = MBoxtest(X,alpha) % Multivariate Statistical Testing for the Homogeneity of Covariance Matrices by the Box's M. % % Syntax: function [MBox] = MBoxtest(X,alpha) % %
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m statmodelr.m

function [H1,H2,Q, estat] = StatModelR(xn,B,N); % Statistical Model (Rounding) for A/D Quantization error and its Distribution % ------------- -----------------------------------------------------
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h btl_numerics.h

// // btl_numerics.h // // This file contains generic statistical functions // // These classes are part of the Bioinformatics Template Library (BTL). // // Copyright (C) 1997, 1998 Birkbeck College,
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m contents.m

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.04 22-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
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spade readme.spade

README file for the Spade v092200.1 ----------------------------------- Greetings, Welcome to release version 092200.1 of the Spade sensor, spp_anomsensor. Spade stands for Statistical Packet Anoma
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usage readme.spade.usage

Usage file for the Spade v092200.1 ---------------------------------- Author: Jim Hoagland (hoagland@SiliconDefense.com) This file contains information about how to use and configure the Statistical
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txt 16.txt

发信人: GzLi (笑梨), 信区: DataMining 标 题: 推荐一篇文章 发信站: 南京大学小百合站 (Sat Dec 7 11:01:32 2002), 站内信件 Breiman, L. (2001). Statistical Modeling: The two cultures. Statistical Scien ce, 16, No 3, 199-231.