代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/179898/9331874
in epm-header.in
%product classify
%copyright 2000-2004 Alex Zijdenbox (primary author)
%vendor McConnell Brain Imaging Centre
%packager Andrew Janke
%license COPYING
%readme README
%description MI
www.eeworm.com/read/179898/9331887
in classify_clean.in
#!@PERL@
# ------------------------------ MNI Header ----------------------------------
#@NAME : classify_clean
#@INPUT :
#@OUTPUT :
#@RETURNS :
#@DESCRIPTION: classify a stereo
www.eeworm.com/read/373632/9445407
index
knn.var K-Nearest Neighbor Classification With Variable
Selection
knnTree K-NEAREST NEIGHBOR CLASSIFIERS WITHIN LEAVES OF
www.eeworm.com/read/373628/9445564
citation
citHeader("To cite randomForest in publications use:")
citEntry(entry="Article",
title = "Classification and Regression by randomForest",
author = personList(person(last="Liaw",
www.eeworm.com/read/176398/9500158
m iris.m
function [Samples, N, classification] = Iris()
Samples = load_iris_data;
[attr,N] = size(Samples);
classification = Samples(attr,:);
Samples = Samples(1:attr-1,:);
www.eeworm.com/read/176398/9500179
m readdata.m
%=====================================================================
%
% ReadData:
% ---------
%
% Parameters:
% example_set - The current data index, which the algorithm
%
www.eeworm.com/read/372487/9508389
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/175317/9552384
m breakeven.m
% Given a set of classification outputs and binary labels for a set of
% examples, finds the threshold that maximizes some function of the
% classification errors (as determined by user-provided funct
www.eeworm.com/read/169176/9876601
m cerror.m
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(ypred,ytrue)
% error = cerror(ypred,ytrue,label)
%
% Description:
% error = cerror(ypred,y