Discussion questions

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Bioinformatics journal club Oct-8-2013
William S Noble, What is a support vector machine?
Q1) What is the definition of a support vector machine (SVM) and how is it applied in biology?
What are the four basic concepts regarding SVMs?
Q2) What is a hyperplane? And how is the hyperplane selected in SVM?
Q3) What are some of the caveats that are associated with SVMs?
Q4) What is meant by a soft margin in SVMs?
Q5) What is a kernel function and when is it used?
Q6) What is meant by the curse of dimensionality?
Q7) How can SVMs be applied to multi class classification problems?
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