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A tour of Machine Learning: an AI perspective

Michèle Sebag 1, 2, * 
* Corresponding author
2 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
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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https://hal.inria.fr/hal-01109768
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Submitted on : Monday, January 26, 2015 - 11:19:52 PM
Last modification on : Sunday, June 26, 2022 - 12:02:49 PM
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Michèle Sebag. A tour of Machine Learning: an AI perspective. AI Communications, 2014, 27 (1), pp.11-23. ⟨10.3233/AIC-130580⟩. ⟨hal-01109768⟩

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