Learning Theory and Support Vector Machines  a primer
Abstract
The main goal of statistical learning theory is to provide a fundamental framework for the problem of decision making and model construction based on sets of data. Here, we present a brief introduction to the fundamentals of statistical learning theory, in particular the difference between empirical and structural risk minimization, including one of its most prominent implementations, i.e. the Support Vector Machine.
 Publication:

arXiv eprints
 Pub Date:
 February 2019
 arXiv:
 arXiv:1902.04622
 Bibcode:
 2019arXiv190204622B
 Keywords:

 Computer Science  Machine Learning;
 Statistics  Machine Learning