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www.eeworm.com/read/454090/7401246

html iolicomend.html

iOlicomEnd
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www.eeworm.com/read/453478/7418971

txt readme.txt

jClientUpload 1.8 Copyright JavaZOOM 1999-2006 http://www.javazoom.net ========================================================== jClientUpload support page : http://www.javazoom.net/applets/jc
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www.eeworm.com/read/452443/7441131

java rtfreader.java

/* * @(#)RTFReader.java 1.26 05/11/17 * * Copyright 2006 Sun Microsystems, Inc. All rights reserved. * SUN PROPRIETARY/CONFIDENTIAL. Use is subject to license terms. */ package javax.swing.text.r
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www.eeworm.com/read/451547/7462017

m optim_auc.m

function [w,optval] = optim_auc(x,wname,fracrej,range,nrbags,varargin) %OPTIM_AUC Optimize hyperparameters for an OCC % % W = OPTIM_AUC(X,WNAME,FRACREJ,RANGE,NRBAGS,VARARGIN) % % Optimize the AUC-p
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www.eeworm.com/read/450608/7480151

m parzenc.m

%PARZENC Optimisation of the Parzen classifier % % [W,H] = PARZENC(A) % W = PARZENC(A,H,FID) % % INPUT % A dataset % H smoothing parameter (may be scalar, vector of per-class % param
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www.eeworm.com/read/450608/7480156

m svo_nu.m

%SVO_NU Support Vector Optimizer: NU algorithm % % [V,J,C] = SVO(K,NLAB,NU,PD) % % INPUT % K Similarity matrix % NLAB Label list consisting of -1/+1 % NU Regularization parameter (0 <
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www.eeworm.com/read/449504/7502128

m ols_gv.m

function results = ols_gv(y,x,ndraw,nomit,prior) % PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model % y = X B + e, p(e_i) = f_t(e_i | 0, v_i, lambda) % p(V) =
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www.eeworm.com/read/449504/7502715

m gedpdf.m

function prob = gedpdf(x,nu) % PURPOSE: % Evaluates the Probabiliy a vector of observations x(Nx1) % has if drawn from a Generalzed Error Dist'n with parameter nu % which is the exponential power
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www.eeworm.com/read/448887/7523322

m wrimage.m

function x = wrimage(DataOut,h,w,filename,PicExpand) %WRIMAGE Formats the data and writes it to a bmp file % % x = wrimage(DataOut,h,w,filename,PicExpand) % x : image data as a single row vector.
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www.eeworm.com/read/448636/7528848

m grminabsverset.m

function nMS=grMinAbsVerSet(E,d) % Function nMS=grMinAbsVerSet(E,d) solve the minimal absorbant set problem % for the graph vertexes. % Input parameters: % E(m,2) - the edges of graph; %
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