代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
www.eeworm.com/read/281002/10273038

nb1 subset.nb1

/*---------------------------------------------------------------------- domains ----------------------------------------------------------------------*/ dom(x) = ZZ [0, 6]; dom(class) = { a, b };
www.eeworm.com/read/280595/10310579

m contents.m

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.04 22-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
www.eeworm.com/read/280595/10310623

html contents.html

Contents.m
www.eeworm.com/read/280595/10310962

html contents.html

Contents.m
www.eeworm.com/read/280595/10310994

html contents.html

Contents.m
www.eeworm.com/read/280595/10312472

m~ contents.m~

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.03 14-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf
www.eeworm.com/read/280531/10322496

m gentleboost.m

function classifier = gentleBoost(x, y, Nrounds, plotstyle) % gentleBoost % % features x % class: y = [-1,1] % % % Implementation of gentleBoost: % Friedman, J. H., Hastie, T. and Tibshirani
www.eeworm.com/read/280531/10322501

m testgentle.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % atb, 2003 % torralba@ai.mit.edu clear all % Create data x = rand(2,1000); D = sqrt(((x(1,:)-.5).^2 + (x(2,
www.eeworm.com/read/280531/10322504

m stronggentleclassifier.m

function [Cx, Fx] = strongGentleClassifier(x, classifier) % [Cx, Fx] = strongLogitClassifier(x, classifier) % % Cx is the predicted class % Fx is the output of the additive model % Cx = sign(Fx)
www.eeworm.com/read/161762/10378740

cpp scs.cpp

/****************************************************************************/ /* 基本遗传学习分类系统 SCS.CPP */ /* A Simple Classifier System based on G