代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/13911/287181
m exlarsignalclassif.m
% Example of wavelet discriminant basis signal classification
%
%
% 20/12/2005
clear all
close all
nbtrain=100;
noise=1;
nf=128;
localisation=100:105;
saut=1;
name={'HeaviSine' 'D
www.eeworm.com/read/344585/3207725
m demev2.m
%DEMEV2 Demonstrate Bayesian classification for the MLP.
%
% Description
% A synthetic two class two-dimensional dataset X is sampled from a
% mixture of four Gaussians. Each class is associated wit
www.eeworm.com/read/287127/4027127
c tok_class.c
/*++
/* NAME
/* tok_class 3
/* SUMMARY
/* token classification
/* PACKAGE
/* unproto
/* SYNOPSIS
/* #include "token.h"
/*
/* void tok_unget(t)
/* struct token *t;
/*
/* struct token *tok_
www.eeworm.com/read/396844/2406656
m demev2.m
%DEMEV2 Demonstrate Bayesian classification for the MLP.
%
% Description
% A synthetic two class two-dimensional dataset X is sampled from a
% mixture of four Gaussians. Each class is associated wit
www.eeworm.com/read/386597/2570195
m cart.m
function test_targets = CART(train_patterns, train_targets, test_patterns, params)
% Classify using classification and regression trees
% Inputs:
% training_patterns - Train patterns
% traini
www.eeworm.com/read/369958/2788119
m exlarsignalclassif.m
% Example of wavelet discriminant basis signal classification
%
%
% 20/12/2005
clear all
close all
nbtrain=100;
noise=1;
nf=128;
localisation=100:105;
saut=1;
name={'HeaviSine' 'D
www.eeworm.com/read/258893/4349725
c tok_class.c
/*++
/* NAME
/* tok_class 3
/* SUMMARY
/* token classification
/* PACKAGE
/* unproto
/* SYNOPSIS
/* #include "token.h"
/*
/* void tok_unget(t)
/* struct token *t;
/*
/* struct token *tok_
www.eeworm.com/read/160868/5565123
readme
Model Selection Tools
Introduction
============
grid.py is a model selection tool for C-SVM classification using RBF
(radial basis function) kernel. It uses cross validation (CV) technique
to estima
www.eeworm.com/read/474600/6813525
m cart.m
function test_targets = CART(train_patterns, train_targets, test_patterns, params)
% Classify using classification and regression trees
% Inputs:
% training_patterns - Train patterns
% traini
www.eeworm.com/read/295595/8150741
m exlarsignalclassif.m
% Example of wavelet discriminant basis signal classification
%
%
% 20/12/2005
clear all
close all
nbtrain=100;
noise=1;
nf=128;
localisation=100:105;
saut=1;
name={'HeaviSine' 'D