代码搜索：NetWork

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cpp stdafx.cpp

////////////////////////////////////////////////////////////////////////////// // StdAfx.cpp // // MFC source. ////////////////////////////////////////////////////////////////////////////// //
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cpp stdafx.cpp

////////////////////////////////////////////////////////////////////////////// // StdAfx.cpp // // MFC source. ////////////////////////////////////////////////////////////////////////////// //
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c main.c

/*____________________________________________________________________________ Copyright (C) 1997 Network Associates Inc. and affiliated companies. All rights reserved. $Id: main.c,v 1.2 1999/
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h pgpversion.h

/*____________________________________________________________________________ Copyright (C) 1997-1999 Network Associates, Inc. All rights reserved. PGPversion.h - version and VERSIONINFO st
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ipr pgp 6.5 cmdln nt.ipr

[Language] LanguageSupport0=0009 [OperatingSystem] OSSupport=0000000000010000 [Data] CurrentMedia= set_mifserial= ProductName=PGP Command Line 6.5.1i RSA CurrentComponentDef=Default.cdf s
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h getopt.h

/*____________________________________________________________________________ getopt.h Copyright(C) 1998,1999 Network Associates, Inc. All rights reserved. PGP 6.5 Command Line
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java request.java

package com.croftsoft.apps.mars.net.request; import java.io.Serializable; /********************************************************************* * Network request object. *
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m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a max-win multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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m train.m

function net = train(net, tutor, varargin) % TRAIN % % Train a dag-svm multi-class support vector classifier network using the % specified tutor to train each component two-class network. %
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