代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

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m quadrc.m

%QUADRC Quadratic Discriminant Classifier % % W = QUADRC(A,R,S) % % INPUT % A Dataset % R,S 0
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www.eeworm.com/read/318947/13466019

m deltablssvm.m

function model = deltablssvm(model,a1,a2) % Bias term correction for the LS-SVM classifier % % >> model = deltablssvm(model, b_new) % % This function is only useful in the object oriented function %
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www.eeworm.com/read/316944/13514057

m deltablssvm.m

function model = deltablssvm(model,a1,a2) % Bias term correction for the LS-SVM classifier % % >> model = deltablssvm(model, b_new) % % This function is only useful in the object oriented function %
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www.eeworm.com/read/314653/13562508

m quadrc.m

%QUADRC Quadratic Discriminant Classifier % % W = QUADRC(A,R,S) % % INPUT % A Dataset % R,S 0
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www.eeworm.com/read/312163/13617394

m contents.m

% Quadratic discriminant function and data mapping. % % lin2quad - Merges linear rule and quadratic mapping. % qmap - Quadratic data mapping. % quadclass - Quadratic classifier. % % About: St
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www.eeworm.com/read/312163/13617536

m ocr_fun.m

function ocr_fun(data) % OCR_FUN Calls OCR classifier and displays result. % % Synopsis: % ocr_fun(data) % % Description: % This function classifies images of characters stored as columns % of th
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www.eeworm.com/read/135153/5889765

c cls_rsvp6.c

/* * net/sched/cls_rsvp6.c Special RSVP packet classifier for IPv6. * * This program is free software; you can redistribute it and/or * modify it under the terms of the GNU General Public Licens
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www.eeworm.com/read/134901/5891541

m ocr_fun.m

function ocr_fun(data) % OCR_FUN Calls OCR classifier and displays result. % % Synopsis: % ocr_fun(data) % % Description: % This function classifies images of characters stored as columns % of th
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www.eeworm.com/read/133885/5898886

java expnb_single.java

/** * Single classifier solution. * * Superseded by ExpSingle * * @author Waleed Kadous * @version $Id: ExpNB_Single.java,v 1.1.1.1 2002/06/28 07:36:16 waleed Exp $ */ package tclass;
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www.eeworm.com/read/402363/6343580

m svmfwd.m

function [Y, Y1] = svmfwd(net, X) % SVMFWD - Forward propagation through Support Vector Machine classifier % % Y = SVMFWD(NET, X) % For a data structure NET, the matrix of vectors X is input into
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