代码搜索：classification

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readme

Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
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cla rules3.cla

classification 3 2 0 x trapezoid 0.0 3.0 3.0 6.0 y trapezoid 0.0 3.0 3.0 6.0 1 x trapezoid 0.0 3.0 3.0 6.0 y trapezoid 1.0 4.0 4.0 7.0 2 x trapezoid 1.0 4.0 4.0 7.0 y trapezoid 1.0 4.0 4.0 7.0
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cla rule4.cla

classification 4 2 0 x trapezoid 0.0 3.0 3.0 6.0 y trapezoid 0.0 3.0 3.0 6.0 1 x trapezoid 0.0 3.0 3.0 6.0 y trapezoid 1.0 4.0 4.0 7.0 2 x trapezoid 1.0 4.0 4.0 7.0 y trapezoid 1.0 4.0 4.0 7.0 3
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hpp ndberror.hpp

/* Copyright (C) 2003 MySQL AB This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Fou
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java employee.java

package sequentialProcessing; import java.io.*; /** An employee with a name, number, hourly wage and classification. */ public class Employee implements Serializable { /** The name of the e
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txt new text document.txt

Capabilities of the latest version of MultiSpec include the following. Import data Display multispectral images Histogram Reformat Create new channels Cluster data Define class
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m display.m

function sys = display(X) %display Displays a SET object. % Author Johan L鰂berg % $Id: display.m,v 1.6 2005/02/04 10:10:26 johanl Exp $ nlmi = size(X.clauses,2); if (nlmi == 0)
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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
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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
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m testadaboost.m

function [Result,error,H,alpha]=TestAdaBoost(X,Y,C,T,Xver,Yver,WLearner) % % Test AdaBoost % % % Input % X - training set % Y - label of samples in rtaining set % 1 - belong to
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