[Lisa_seminaires] Presentation this Friday 11:00 in AA3195 by Christian Gagné

Razvan Pascanu r.pascanu at gmail.com
Jeu 20 Mar 16:15:03 EDT 2014


Reminder : tomorrow 11 AM talk by Christian Gagne


On Tue, Mar 18, 2014 at 10:58 AM, Razvan Pascanu <r.pascanu at gmail.com>wrote:

> Hi all,
>
>  This Friday, 11:00 we have a presentation by Christian Gagné from
> Universite Laval.
>  The room is AA3195. I hope to see many of you there.
>
>
> Title:
> Evolutionary Computation and Machine Learning for the Engineering of
> Intelligent Systems
>
> Abstract:
> Evolutionary computation consists in black-box population-based
> optimization techniques inspired by natural evolution. These metaheuristics
> are quite successful at solving problems hard to tackle with conventional
> methods, for example when dealing with strongly non convex multimodal
> functions, multiple objectives, or solutions represented a complex data
> structures (e.g., graphs, trees, symbolic expressions). Although
> evolutionary computation is often considered as a close sibling to machine
> learning, it is often badly understood and dismissed by researchers in the
> field, mostly given its ad hoc nature and the impression it lacks strong
> theoretical foundations. Such considerations are unfortunate, as many
> criticisms are not taking into account latest developments of the field,
> nor considering the use of powerful tools provided by evolutionary
> computation for tackling some of the difficult optimization problems of
> machine learning.
>
> In my talk, I will present the field of evolutionary computation, with a
> particular emphasis on how it can be used in the context of machine
> learning. I will also present some methods of evolutionary computing that
> are relying on machine learning. This will be illustrated by various works
> done in my group at Université Laval, where we are applying in synergy
> machine learning and evolutionary computation techniques for solving
> complex engineering problems.
>
> Presenter:
> Christian Gagné
> Professeur agrégé
>
> Laboratoire de vision et systèmes numériques
> Département de génie électrique et de génie informatique
> Université Laval, Québec (Québec), Canada
> http://vision.gel.ulaval.ca/~cgagne
> christian.gagne at gel.ulaval.ca
>
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