代码搜索：classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/448038/7541259
m model_cpann.m
function model = model_cpann(X,class,settings)
% counterpropagation artificial neural networks (CPANNs)
% model_cpann builds a classification model based on CPANNs
%
% model = model_cpann(X,cla
www.eeworm.com/read/444698/7608145
doc readme.doc
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/440427/7689477
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/399996/7816956
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/398337/7993516
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/397099/8068979
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/245941/12771065
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/143706/12849750
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/330850/12865060
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/138465/13235051
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