PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

What is the place of Machine Learning between Pattern Recognition and Optimization?
Antoine Cornuéjols and Laurent Miclet
In: TML 2008 (Teaching Machine Learning), 5-6 May 2008, Saint-Etienne, France.

Abstract

The authors of this paper were co-authors of a book written in French in 2002, which expounded their view of Machine Learning as a specific field. Even though it appears that in recent years there is an increasing overlap between Machine Learning curricula and those of Statistics (Pattern Recognition) and Optimization, we still believe that Machine Learning has retained its own personality and is not doomed to dissolve entirely into the field of mathematics. In this paper, we will broaden the scope of our investigation by looking at the teaching of Machine Learning over three decades. We also invite the reader to contemplate possible futures by suggesting three extreme scenarii.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:5309
Deposited By:Antoine Cornuéjols
Deposited On:24 March 2009