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hh utils.hh

/****************************************************************************** File : utils.hh Date : Wednesday 13th September 2000 Author : Dr Gavin C. Cawley Descript
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m smosvctutor.m

function tutor = smosvctutor(arg) % SMOSVCTUTOR % % Construct a tutor object for training support vector classifiers using the % sequential minimal optimisation algorithm. % % Examples: % %
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h cache.h

/****************************************************************************** File : Cache.h Date : Wednesday 13th September 2000 Author : Dr Gavin C. Cawley Descripti
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m polynomial.m

function ker = polynomial(arg) % POLYNOMIAL % % Construct a polynomial kernel object, % % K(x1, x2) = (x1*x2' + 1).^d; % % Examples: % % % default constructor (quadratic kernel, d = 2
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m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a polynomial kernel, for example % % K = evaluate(kernel, x1, x2); % % where x1 and x2 are matrices containing input patterns, wh
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m linear.m

function ker = linear(arg) % LINEAR % % Construct a linear kernel object, % % K(x1, x2) = x1.x2'; % % Examples: % % % default constructor % % ker1 = linear; % % % copy cons
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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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entries

D/gtk//// D/j2d//// D/xlib//// /LightweightRedirector.java/1.1/Sun Oct 22 17:46:08 2000//Tgcc-3_4-branch
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entries

/Blocks-3.txt/1.1/Wed Mar 6 18:54:37 2002//Tgcc-3_4-branch /BytesToUnicode.java/1.9/Mon Jul 30 20:24:17 2001//Tgcc-3_4-branch /Convert.java/1.8/Mon Mar 25 22:08:25 2002//Tgcc-3_4-branch /IOConverter.
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entries

/ArrayStore.java/1.1/Wed Feb 20 04:14:15 2002//Tgcc-3_4-branch /ArrayStore.out/1.1/Wed Feb 20 04:14:15 2002//Tgcc-3_4-branch /ArrayStore.xfail/1.1/Wed Feb 20 04:14:15 2002//Tgcc-3_4-branch /ArrayStore