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/317622/13500921
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/302155/13841000
c rainbow.c
/* rainbow - a document classification front-end to libbow. */
/* Copyright (C) 1997 Andrew McCallum
Written by: Andrew Kachites McCallum
This file is part of the Bag-O
www.eeworm.com/read/130382/5957799
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/494772/6374959
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/485544/6552714
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/484356/6586007
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/405213/11469157
m gd_evalsolution.m
function [TestError,TrainError, not_classified,final]=GD_EvalSolution(y,output,Labeled)
num_classes=max(y);
num=length(y);
% compute final classification, final==0 corresponds to "not classifie
www.eeworm.com/read/405069/11472269
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/262186/11602298
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/157733/11667624
c rainbow.c
/* rainbow - a document classification front-end to libbow. */
/* Copyright (C) 1997 Andrew McCallum
Written by: Andrew Kachites McCallum
This file is part of the Bag-O