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/480136/6677522
java knnsourcecode.java
// kNN demo
// Jerry Zhu, Carnegie Mellon University, 2000/12
// My first Java program.
import java.applet.Applet;
import java.awt.*;
import java.awt.event.ActionListener;
import java.awt.even
www.eeworm.com/read/404800/11478652
m oselm.m
function [TrainingTime, TestingTime, TrainingAccuracy, TestingAccuracy] = OSELM(TrainingData_File, TestingData_File, Elm_Type, nHiddenNeurons, ActivationFunction, N0, Block)
% Usage: OSELM(Training
www.eeworm.com/read/400577/11572612
m labeld.m
%LABELD Find labels of classification dataset (perform crisp classification)
%
% LABELS = LABELD(Z)
% LABELS = Z*LABELD
% LABELS = LABELD(A,W)
% LABELS = A*W*LABELD
% LABELS = LABELD(Z,THRE
www.eeworm.com/read/400577/11572722
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(A)
%
% Returns the classification cost matrix as defined for the dataset A.
% An empty cost matrix is interpreted as equal costs f
www.eeworm.com/read/400577/11573232
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(W)
%
% Returns the classification cost matrix as set in the classifier W.
% An empty cost matrix is interpreted as equal costs for
www.eeworm.com/read/400398/11577568
java classifyresult.java
package com.vista;
/**
* 分类结果
*/
public class ClassifyResult
{
public double probility;//分类的概率
public String classification;//分类
public ClassifyResult()
{
this.probility = 0;
www.eeworm.com/read/347945/11623639
m display.m
function sys = display(X)
%display Displays a SET object.
% Author Johan L鰂berg
% $Id: display.m,v 1.9 2006/09/27 13:52:09 joloef Exp $
nlmi = size(X.clauses,2);
if (nlmi == 0)
www.eeworm.com/read/347945/11625074
m solvesdp.m
function diagnostic = solvesdp(varargin)
%SOLVESDP Computes solution to optimization problem
%
% DIAGNOSTIC = SOLVESDP(F,h,options) is the common command to
% solve optimization problems of th
www.eeworm.com/read/347853/11631316
hlp geni.hlp
This is a small example on how to create a classification expert-system in
TURBO-Prolog.
Animals are classified in different categories which are further
specified. One can come from one cate
www.eeworm.com/read/347811/11635054
m contents.m
% Support Vector Machine Toolbox
% Version 2.0-Aug-1998
%
% Support Vector Classification
%
% svc - Calculate support vectors for classification
% svcplot - Plot 2 dimensional clas