代码搜索:classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/281002/10273217
c bcx.c
/*----------------------------------------------------------------------
File : bcx.c
Contents: naive and full Bayes classifier execution
Author : Christian Borgelt
History : 1998.12.08 fi
www.eeworm.com/read/280595/10310561
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/280595/10311693
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/280595/10311722
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/280595/10311830
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/280531/10322474
m demogentleboost.m
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Simple demo of Gentle Boost with stumps and 2D data
%
%
% Implementation of gentleBoost. The algorithm is describe
www.eeworm.com/read/354741/10329317
m 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/354741/10329359
m c_svcdemo.m
% ------- OSU C-SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and t
www.eeworm.com/read/354741/10329392
m svcdemo.m
% ------- OSU SVM CLASSIFIER TOOLBOX Demonstrations---
%
% 1) Construct a linear SVM Classifier and test it
% 2) Construct a nonlinear SVM Classifier (polynomial kernel) and tes
www.eeworm.com/read/354741/10329406
m u_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
%