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/367441/9748350
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/367441/9748375
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/269070/11109872
java attributeselectedclassifier.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/411674/11232967
m contents.m
% Bayesian classification.
%
% bayescls - Bayesian classifier with reject option.
% bayesdf - Computes decision boundary of Bayesian classifier.
% bayeserr - Computes Bayesian risk for 1D case with G
www.eeworm.com/read/411674/11233672
m contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
www.eeworm.com/read/411674/11233690
m pandr.m
function varargout = pandr(model,distrib)
% PANDR Visualizes solution of the Generalized Anderson's task.
%
% Synopsis:
% h = pandr(model)
%
% Description:
% It vizualizes solution of the Gen
www.eeworm.com/read/411674/11233721
m svmclass.m
function [y,dfce] = svmclass(X,model)
% SVMCLASS Support Vector Machines Classifier.
%
% Synopsis:
% [y,dfce] = svmclass( X, model )
%
% Description:
% [y,dfce] = svmclass( X, model ) classifies inp
www.eeworm.com/read/248950/12531203
m learn.m
function wret = learn ( w , L )
# learning for single neuron classifier
# I don't understand why this is invisible
global x ;
global t ;
disp (" enter learn ")
for l = 1:L
a = x * w ;
y =
www.eeworm.com/read/248950/12531360
m contents.m
% Support Vector Machine toolbox
% Version 2.51, January 2002
%
% SVM functions:
% svm - create a support vector machine classifier
% svmfwd - forward propagation through svm
% svmkernel - c
www.eeworm.com/read/300368/13917414
java attributeselectedclassifier.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers