Learning Theory and Support Vector Machines - a primer
Machine Learning
2019-02-14 v1 Machine Learning
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.
Cite
@article{arxiv.1902.04622,
title = {Learning Theory and Support Vector Machines - a primer},
author = {Michael Banf},
journal= {arXiv preprint arXiv:1902.04622},
year = {2019}
}