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/460435/7250441
m prex_logdens.m
%PREX_LOGDENS PRTools example on density based classifier improvement
%
% This example shows the use and results of LOGDENS for improving
% the classification in the tail of the distributions
h
www.eeworm.com/read/460435/7250789
m svcinfo.m
%SVCINFO More information on Support Vector Classifiers
%
% [W,J,C,NU,ALGINF] = SVC(A,KERNEL,C,OPTIONS)
% W = A*SVC([],KERNEL,C,OPTIONS)
% [W,J,NU,C,ALGINF] = NUSVC(A,KERNEL
www.eeworm.com/read/456384/7350126
m fda_test.m
function LABEL_TEST=FDA_TEST(SAMPLES,WEIGHTS,INTERCEPT);
%Use the trained Fisher linear classifier to classify data
%USAGE: LABEL_TEST=FDA_TEST(SAMPLES,WEIGHTS,INTERCEPT)
%INPUT:
%SAMPLES is a mat
www.eeworm.com/read/450608/7480092
m prex_logdens.m
%PREX_LOGDENS PRTools example on density based classifier improvement
%
% This example shows the use and results of LOGDENS for improving
% the classification in the tail of the distributions
h
www.eeworm.com/read/441245/7672646
m prex_logdens.m
%PREX_LOGDENS PRTools example on density based classifier improvement
%
% This example shows the use and results of LOGDENS for improving
% the classification in the tail of the distributions
h
www.eeworm.com/read/441245/7673003
m svcinfo.m
%SVCINFO More information on Support Vector Classifiers
%
% [W,J,C,NU,ALGINF] = SVC(A,KERNEL,C,OPTIONS)
% W = A*SVC([],KERNEL,C,OPTIONS)
% [W,J,NU,C,ALGINF] = NUSVC(A,KERNEL
www.eeworm.com/read/439395/7710479
h flood.h
/*
/*******************************************************************
Copyright (C) 2004 Thomas Kunz, CRC Canada, BCAST for IPv4.
DISTRIBUTED WITH NO WARRANTY, EXPRESS OR IMPLIED.
See the GNU Li
www.eeworm.com/read/299459/7850452
m adaclass.m
function [y,dfce] = adaclass(X,model)
% ADACLASS AdaBoost classifier.
%
% Synopsis:
% [y,dfce] = adaclass(X,model)
%
% Description:
% This function implements the AdaBoost classifier which
% its di