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/353769/10418592
c lvq_run.c
/************************************************************************
* *
* Program package 'lvq_pak':
www.eeworm.com/read/279339/10446048
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/279339/10446056
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/279339/10446058
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/352542/10542226
cpp scs.cpp
/****************************************************************************/
/* 基本遗传学习分类系统 SCS.CPP */
/* A Simple Classifier System based on G
www.eeworm.com/read/423635/10543380
m runbestthresholdfdp.m
%Runs the weak shared learner
function [hm]=runBestThresholdFDP(Data, classifier)
[Nfeat,NSamples]=size(Data);
for i=1:classifier.NClass
if ismember(i,classifier.positive)
hm(i,:)=(
www.eeworm.com/read/159921/10587853
m contents.m
% Bayes Classification.
%
% bayeserr - Computes the Bayesian risk for optimal classifier.
% bayescln - Classifier based on Bayes decision rule for Gaussians.
% bayesnd - Discrim. function, dic
www.eeworm.com/read/159921/10587862
m bayesdemo1.m
% BAYESDEMO1 demo how to display discriminat function for Bayes classifier.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cm