Plate-forme Intelligence Artificielle Rennes 2015

Espace conférences Inria - Rennes

29 juin - 3 juillet 2015

Les conférences invitées

img-PFIA2015EikeHullermeier The talk of Eyke Hüllermeier

Monday 29th june 2015

The Questions The slides Abstract Back to Contents Page


Preferences in Artificial Intelligence and Machine Learning

Click on the image to open the vidéo (56:15 mn)


Eyke Hüllermeier

Professor at Department of Mathematic and Informatic in University of Paderborn (Germany)

The talk is introduced by Nicolas Maudet, member of the board of the French AI association (AFIA) and starts at 0:44 mn img-flecheHaut


Four questions of the audience to Eyke Hüllermeier (9:18 mn)

question 2 at 2:08 mn ; question 3 at 5:02 mn ; question 4 at 6:43 mn img-flecheHaut


Reasoning with preferences has gained increasing attention in the field of artificial intelligence (AI) in the recent years. Amongst others, this interest has led to the emergence of preference learning as a new branch of machine learning. Roughly speaking, preference learning refers to the development and analysis of methods for learning preference models from explicit or implicit preference information, that is, models useful for explaining revealed and predicting future preferences. Starting with a brief introduction to preferences in AI in general and machine learning in particular, this talk will focus on methods and algorithms for ranking problems. These are (learning) problems in which preferences are represented in terms of a total order over an underlying set of choice alternatives, where both the order relation and the choice set can be contextualized. Based on different types of preference feedback, the goal of the learner is to induce a model that allows for predicting such order relations in an accurate manner. img-flecheHaut

Edition page Web: Alain Crenn - Service Communication & Médiation/ audiovisuel