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This paper attempts to contrast the basic elements of statistical learning theory and statistical decision theory, but I'm still confused about how the two are related.

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Have you read the Wikipedia articles? Decision theory is a subset of or problem in statistical learning, in my view; both driven by statistics -- data. It concerns the optimal making of decisions such as choosing between alternatives, once or over a period of time (possibly without termination), or deciding when to stop an experiment, etc. Statistical learning theory is a much broader concept. It is the most popular paradigm for machine learning. Maybe you know that?

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  • $\begingroup$ I hadn't heard the term "Statistical Learning Theory" before and came across it while studying about VC Theory. The formalisms in Statistical Learning Theory seemed similar to the ones I studied before in Statistical Decision Theory. $\endgroup$ – Bharat Khatri Feb 2 '15 at 2:02

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