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/152629/5672763
java balancedwinnow.java
/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept.
This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
http://www.cs.umass.edu/~mccallum/mallet
Th
www.eeworm.com/read/139298/5803181
java ensembleclassifier.java
package fasbir.ensemblers;
/**
* Description: interface declare that all ensemble class should contain a method
* [code]getDetailClassificationResult()[/code]
* @author Y. Yu (yuy@l
www.eeworm.com/read/405069/11472241
m show_algorithms.m
function show_algorithms (type, show_details)
% Specify possible classification algorithms and their details
%
% Inputs:
% type - Can be either classification, preprocessing, or fea
www.eeworm.com/read/404800/11478653
m oselm_vary.m
function [TrainingTime, TestingTime, TrainingAccuracy, TestingAccuracy] = OSELM_VARY(TrainingData_File, TestingData_File, Elm_Type, nHiddenNeurons, ActivationFunction, N0, Block_Range)
% Usage: OSE
www.eeworm.com/read/150749/12267258
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/150749/12267408
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/338899/12274542
h svm.h
#ifndef _LIBSVM_H
#define _LIBSVM_H
#ifdef __cplusplus
extern "C" {
#endif
struct svm_node
{
int index;//index = -1 indicates the end of one vector
double value;
};
struct svm_problem
{
int l;//
www.eeworm.com/read/119681/14824488
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/214923/15083024
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/474600/6813493
m show_algorithms.m
function show_algorithms (type, show_details)
% Specify possible classification algorithms and their details
%
% Inputs:
% type - Can be either classification, preprocessing, or fea