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Why are kernel methods with RBFs effective for handwritten digits (letters) classification?

What are possible kernel matrix estimation methods in the literature of machine learning?

  • With the increased bunch of data around, traditional kernel function based SVM learners or variants are not capable of process data with relatively low budget machines. Therefore people, ML guys devise some methods to project data explicitly to approximated kernel space. There are many of them and research still is going on. In the current era of literature what are the possible methods, with underlined pros and cons?

  • Answer:

    A comparison between two most popular methods is given here: http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2012_0248.pdf.

Mario Lucic at Quora Visit the source

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