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/482720/6621684
m u_rbfdemo.m
echo off
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
echo on;
clc
% RBFDEMO demonstration for using nonlinear SVM classifier
% with a RBF kernel.
%#####
www.eeworm.com/read/482720/6621685
m u_lindemo.m
echo off
%LINDEMO demonstration for using linear SVM classifier.
echo on;
clc
%LINDEMO demonstration for using linear SVM classifier.
%#########################################################
www.eeworm.com/read/482720/6621686
m c_clademo.m
echo off
% CLADEMO demonstration for using a contructed SVM classifier to classify
% input patterns
echo on;
%
%
% NOTICE: please first run any of the first three demonstrations before
%
www.eeworm.com/read/482720/6621700
m svmclass.m
function [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias, Parameters, nSV, nLabel)
% Usages:
% [Labels, DecisionValue]= SVMClass(Samples, AlphaY, SVs, Bias);
% [Labels, DecisionValu
www.eeworm.com/read/480105/6676782
m auroc.m
function A = auroc(tp, fp)
%
% AUROC - area under ROC curve
%
% An ROC (receiver operator characteristic) curve is a plot of the true
% positive rate as a function of the false positive rate of
www.eeworm.com/read/400577/11572619
m loglc.m
%LOGLC Logistic Linear Classifier
%
% W = LOGLC(A)
%
% INPUT
% A Dataset
%
% OUTPUT
% W Logistic linear classifier
%
% DESCRIPTION
% Computation of the linear classifier for the dataset
www.eeworm.com/read/400577/11572623
m baggingc.m
%BAGGINGC Bootstrapping and aggregation of classifiers
%
% W = BAGGINGC (A,CLASSF,N,ACLASSF,T)
%
% INPUT
% A Training dataset.
% CLASSF The base classifier (default: nmc)
% N
www.eeworm.com/read/400577/11572646
m polyc.m
%POLYC Polynomial Classification
%
% W = polyc(A,CLASSF,N,S)
%
% INPUT
% A Dataset
% CLASSF Untrained classifier (optional; default: FISHERC)
% N Degree of polynomial (optional;
www.eeworm.com/read/400577/11572685
m weakc.m
%WEAKC Weak Classifier
%
% [W,V] = WEAKC(A,ALF,ITER,R)
% VC = WEAKC(A,ALF,ITER,R,1)
%
% INPUT
% A Dataset
% ALF Fraction of objects to be used for training (def: 0.5)
% ITER Numb
www.eeworm.com/read/400577/11572700
m parsc.m
%PARSC Parse classifier
%
% PARSC(W)
%
% Displays the type and, for combining classifiers, the structure of the
% mapping W.
%
% See also MAPPINGS
% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl