资源简介
基于支持向量机的自适应与优化,包含论文SVM Incremental Learning Adaptation and Optimization - Diehl and Cauwenberghs - 2003的文章和源代码
代码片段和文件信息
% BOOKKEEPING - Updates the status of example indss and modifies the corresponding
% coefficient a(indss) in certain cases to avoid numerical errors.
%
% Syntax: [indcoi] = bookkeeping(indsscstatusnstatus)
%
% indco: matrix row/col to remove from Rs and Q if removing a margin vector
% i: when i > 0 the i-th element was removed from ind{RESERVE}
% indss: the example changing status
% cstatus: current status of the example
% nstatus: new status of the example
%
% example status values:
% 1: margin vector
% 2: error vector
% 3: reserve vector
% 4: unlearned vector
%
% Version 3.22 -- Comments to diehl@alumni.cmu.edu
%
function [indcoi] = bookkeeping(indsscstatusnstatus)
indco = -1;
i = 0;
if (cstatus ~= nstatus)
% flags for example state
MARGIN = 1;
ERROR = 2;
RESERVE = 3;
UNLEARNED = 4;
% define global variables
global a; % the alpha coefficients
global C; % regularization parameters
global ind; % cell array containing indices of margin error reserve and unlearned vectors
% adjust coefficient to avoid numerical errors if necessary
switch nstatus
case RESERVE
a(indss) = 0;
case ERROR
a(indss) = C(indss);
end;
% if the example is currently a margin vector determine the row
% in the extended kernel matrix inverse that needs to be removed
if (cstatus == MARGIN)
indco = find(indss == ind{MARGIN}) + 1;
end;
% change the status of the example
switch nstatus
case RESERVE
[ind{cstatus}i] = move_indr(ind{cstatus}indss);
otherwise
[ind{cstatus}ind{nstatus}] = move_ind(ind{cstatus}ind{nstatus}indss);
end;
end;
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
目录 0 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\
文件 4238 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\README
文件 133403 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\SVM Incremental Learning Adaptation and Optimization - Diehl and Cauwenberghs - 2003.pdf
文件 1787 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\bookkeeping.m
文件 1681 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\gestloo.m
文件 12111 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\gpl.txt
文件 835 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\kernel.m
文件 271 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\kevals.m
文件 216 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\kevalsreset.m
文件 4843 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\learn.m
文件 1465 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\loadclass.m
文件 3782 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\looest.m
文件 1416 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\min_delta.m
文件 4490 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\min_delta_acb.m
文件 3640 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\min_delta_p_c.m
文件 4243 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\min_delta_p_s.m
文件 596 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\move_ind.m
文件 1446 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\move_indr.m
文件 1868 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\nonlindata100.mat
文件 268 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\perts.m
文件 6877 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\perturbc.m
文件 7729 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\perturbk.m
文件 1836 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\plot2dkm.m
文件 1373 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\saveclass.m
文件 2553 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\svmeval.m
文件 4625 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\svmloo.m
文件 7510 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\svmtrain.m
文件 10118 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\svmtrain2.m
文件 759 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\testresults.txt
文件 6008 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\unlearn.m
文件 2138 2011-10-17 17:06 Incremental-SVM-Learning-in-MATLAB-master\updateRQ.m
............此处省略0个文件信息
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