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hxx securitytypes.hxx

#if !defined(RESIP_SECURITY_TYPES_HXX) #define RESIP_SECURITY_TYPES_HXX namespace resip { namespace SecurityTypes { typedef enum { SSLv23 = 1, TLSv1 = 2 } SSLType; }; }; #endif
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index

class.ind Generates Class Indicator Matrix from a Factor multinom Fit Multinomial Log-linear Models nnetHess Evaluates Hessian for a Neural Network nnet
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txt data.txt

independent component analysis;blind source separation;natural images;representations;emergence;artifacts;algorithm;bases hippocampal place cells;movement direction;drawing movements;neural discharge
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m oja_bad_demo.m

% % David Gleich % CS 152 - Neural Networks % 12 December 2003 % % load PCA data rand('seed', 0); rand('state', 0); A2bad = pcadata('2dbad'); w = oja(A2bad, 'animate', 1);
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txt complex.txt

1.Pajek datasets--http://vlado.fmf.uni-lj.si/pub/networks/data/ 2.KEDS Data Set Archives--http://web.ku.edu/keds/data.dir/archives.html 3.http://symyxnews.com/campaign/1912-08SN/index.aspx?cguid=9BE
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c ieee80211_module.c

/******************************************************************************* Copyright(c) 2004-2005 Intel Corporation. All rights reserved. Portions of this file are based on the WEP enablem
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m demo_pcnn.m

% Demo for PCNN in image processing % --------- % Author: Qu Xiao-Bo Aug.28,2008 % Postal address: % Rom 509, Scientific Research Building # 2,Haiyun Ca
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m dagsvm.m

function net = dagsvm(arg) % PAIRWISE % % Construct a dag-svm multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class dagsvm network!) % %
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m dagsvm.m

function net = dagsvm(arg) % PAIRWISE % % Construct a dag-svm multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class dagsvm network!) % %
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readme

group_radius Module Juha Heinanen Song Networks Jan Janak FhG FOKUS Edited by Jan Janak Copyright