代码搜索：classification
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www.eeworm.com/read/138465/13235070
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It can solve C-SVM classification,
nu-SVM classification, one-class-SVM, epsilon-SVM regression, and
nu-S
www.eeworm.com/read/324304/13273540
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/323831/13313760
h svmclassification.h
// Copyright (C) 2003 Ronan Collobert (collober@idiap.ch)
//
// This file is part of Torch 3.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms,
www.eeworm.com/read/137160/13341899
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h
www.eeworm.com/read/322173/13388105
java idmef.java
package logToMySQL;
public enum IDMEF{
analyzer,createTime,detectTime,analyzerTime,
sourceNode,sourceUser,sourceProcess,sourceService,
targetNode,targetUser,targetProcess,targetService,
f
www.eeworm.com/read/321827/13396841
c ctype.c
/***
*ctype.c - _ctype definition file
*
* Copyright (c) 1989-1997, Microsoft Corporation. All rights reserved.
*
*Purpose:
* _ctype definition file of character classification data.
www.eeworm.com/read/319942/13439037
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Steve Gunn (srg@ecs.soton.ac.uk)
if (nargin ~= 1) % check correct number o
www.eeworm.com/read/314653/13562257
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h
www.eeworm.com/read/312163/13617460
m~ cerror.m~
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(y1,y2)
% error = cerror(y1,y2,label)
%
% Description:
% error = cerror(y1,y2) returns clas
www.eeworm.com/read/312163/13617461
m cerror.m
function error=cerror(y1,y2,label)
% CERROR Computes classification error.
%
% Synopsis:
% error = cerror(ypred,ytrue)
% error = cerror(ypred,ytrue,label)
%
% Description:
% error = cerror(ypred,y