Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Taillandier, Patrick"'
Autor:
Taillandier, Patrick1,2,3 (AUTHOR) patrick.taillandier@inrae.fr, Chapuis, Kevin4 (AUTHOR), Gaudou, Benoit5 (AUTHOR), Brugière, Arthur1,2 (AUTHOR), Drogoul, Alexis1,2 (AUTHOR)
Publikováno v:
PLoS ONE. 3/22/2024, Vol. 19 Issue 3, p1-24. 24p.
Publikováno v:
BayesOpt workshop at NIPS 2017 - 31st Conference on Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-6
An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations, recovering the set of optimal compromise solutions generally require
Externí odkaz:
http://arxiv.org/abs/1902.06565
Autor:
Taillandier, Franck, Di Maiolo, Pascal, Taillandier, Patrick, Jacquenod, Charlotte, Rauscher-Lauranceau, Loïck, Mehdizadeh, Rasool
Publikováno v:
In International Journal of Disaster Risk Reduction October 2021 64
Autor:
Taillandier, Patrick
Cette thèse traite de la révision automatique des connaissances contenues dans les systèmes fonctionnant par exploration informée d'arbres d'états. Ces systèmes, de par leur performance, sont employés dans de nombreux domaines applicatifs. En
Externí odkaz:
http://www.theses.fr/2008PEST0258/document
Autor:
Gillet, Olivier, Daudé, Éric, Saval, Arnaud, Caron, Clément, Taillandier, Patrick, Tranouez, Pierrick, Rey-Coyrehourcq, Sébastien, Komorowski, Jean-Christophe
Publikováno v:
Simulation; Apr2024, Vol. 100 Issue 4, p401-416, 16p
Publikováno v:
In Engineering Applications of Artificial Intelligence June 2019 82:44-59
Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation function. One approach to solve this kind of problem is to use an info
Externí odkaz:
http://arxiv.org/abs/1204.4991
Autor:
Taillandier, Patrick, Gaffuri, Julien
Many real world problems can be defined as optimisation problems in which the aim is to maximise an objective function. The quality of obtained solution is directly linked to the pertinence of the used objective function. However, designing such func
Externí odkaz:
http://arxiv.org/abs/1204.4990
Both humans and artificial systems frequently use trial and error methods to problem solving. In order to be effective, this type of strategy implies having high quality control knowledge to guide the quest for the optimal solution. Unfortunately, th
Externí odkaz:
http://arxiv.org/abs/1204.4989
Autor:
Taillandier, Patrick, Gaffuri, Julien
Publikováno v:
GIScience, Zurich : Switzerland (2010)
Today, one's disposes of large datasets composed of thousands of geographic objects. However, for many processes, which require the appraisal of an expert or much computational time, only a small part of these objects can be taken into account. In th
Externí odkaz:
http://arxiv.org/abs/1204.4541