Links between learning and optimization: a brief tutorial

Anthony, Martin ORCID: 0000-0002-7796-6044 (2003) Links between learning and optimization: a brief tutorial. CDAM research report series (LSE-CDAM-2003-02). Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.

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Abstract

This report is a brief exposition of some of the important links between machine learning and combinatorial optimization. We explain how efficient ‘learnability’ in standard probabilistic models of learning is linked to the existence of efficient randomized algorithms for certain natural combinatorial optimization problems, and we discuss the complexity of some of these optimization problems.

Item Type:	Monograph (Report)
Official URL:	http://www.cdam.lse.ac.uk
Additional Information:	© 2003 the author
Divisions:	Mathematics
Subjects:	Q Science > QA Mathematics
Date Deposited:	04 Dec 2008 14:19
Last Modified:	01 Nov 2024 05:03
URI:	http://eprints.lse.ac.uk/id/eprint/13571

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