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A tour of Machine Learning: an AI perspective

Michèle Sebag 1, 2, *
* Corresponding author
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : Machine Learning has been at the core of Artificial Intelligence since its inception. Many promises have been held, if one is to consider that Google is a living demonstration of AI. This paper presents a historical perspective on Machine Learning, describing how the emphasis was gradually shifted from logical to statis-tical induction, from induction to optimization, from the search of hypotheses to the search of representa-tions. The paper concludes with a discussion about the new frontier of Machine Learning.
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Michèle Sebag. A tour of Machine Learning: an AI perspective. AI Communications, IOS Press, 2014, 27 (1), pp.11-23. ⟨10.3233/AIC-130580⟩. ⟨hal-01109768⟩

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