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/207746/15263141
m u_svcdemo.m
% ------- OSU nu-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and
www.eeworm.com/read/207746/15263142
m c_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/207746/15263143
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/207746/15263144
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/207746/15263145
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/207746/15263188
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/472964/6860755
tcl ns-obs-lib.tcl
# Copyright (c) University of Maryland, Baltimore County, 2003.
# Original Authors: Ramakrishna Shenai, Sunil Gowda and Krishna Sivalingam.
# This software is developed at the University of
www.eeworm.com/read/472964/6860756
tcl ns-obs-defaults.tcl
# Copyright (c) University of Maryland, Baltimore County, 2003.
# Original Authors: Ramakrishna Shenai, Sunil Gowda and Krishna Sivalingam.
# This software is developed at the University o
www.eeworm.com/read/472964/6860846
changes
Copyright (c) 2003, University of Maryland, Baltimore County.
NOTE: A Basic familiarity with ns architecture is recommended before making the
following changes. The ns-2 extensions for OBS is curren
www.eeworm.com/read/293183/8310169
m classd.m
%CLASSD Classify data using a given classifier
%
% labels = classd(D)
%
% Finds the labels of the classified dataset D (typically the result
% of a mapping or classification A*W). For each object