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Nice introduction to SVM but, on my past experience with SVM and especially for large data-set, SVM algorithms are often quite intensive on memory consumption. Not sure if all implementations of SVM behave regarding memory consumption. I don't know if someone did some works on comparing the implementation and especially the appropriate kernel functions to match minimal memory requirements.

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