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From: Bernardo Sotto-Maior Peralva on 27 Apr 2010 09:02
Hello,
I am using svmtrain to classify my data and matlab runs out of memory every time I run because of the large data set I use. I was wondering if there's a way of training my data in parts and in the end, have only one SVMStruct containing all support vectors (and the others parameters) from the trainings, so that I could classify my data through svmclassify.m.
Many thanks in advance.
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Prev: The channel must be from the same parent.
Next: Invalid MEX-file when running a Matlab standalone app