Result 1 to 20 of 20 total
Bayesian network structure learning from limited datasets through graph evolution. (English)
Moraglio, Alberto (ed.) et al., Genetic programming. 15th European conference, EuroGP 2012, Málaga, Spain, April 11‒13, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-29138-8/pbk). Lecture Notes in Computer Science 7244, 254-265 (2012).
1
Patterns discovery for efficient structured probabilistic inference. (English)
Benferhat, Salem (ed.) et al., Scalable uncertainty management. 5th international conference, SUM 2011, Dayton, OH, USA, October 10‒13, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23962-5/pbk). Lecture Notes in Computer Science 6929. Lecture Notes in Artificial Intelligence, 247-260 (2011).
2
Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process (English)
Expert Syst. Appl. 38, No. 9, 11804-11812 (2011).
3
Patterns discovery for efficient structured probabilistic inference (English)
SUM, 247-260 (2011).
4
A multicriteria Bayesian intelligent tutoring system MBITS (English)
ISDA, 714-719 (2010).
5
Structured value elimination with D-separation analysis (English)
FLAIRS Conference (2010).
6
Considering unseen states as impossible in factored reinforcement learning. (English)
Buntine, Wray (ed.) et al., Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2009, Bled, Slovenia, September 7‒11, 2009. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-04179-2/pbk). Lecture Notes in Computer Science 5781. Lecture Notes in Artificial Intelligence, 721-735 (2009).
7
Apprentissage par renforcement factorisé pour le comportement de personnages non joueurs (English)
Revue d’Intelligence Artificielle 23, No. 2-3, 221-251 (2009).
8
Considering unseen states as impossible in factored reinforcement learning (English)
ECML/PKDD (1), 721-735 (2009).
9
Bayesian network structure learning using cooperative coevolution (English)
GECCO, 755-762 (2009).
10
Exploiting additive structure in factored MDPs for reinforcement learning. (English)
Girgin, Sertan (ed.) et al., Recent advances in reinforcement learning. 8th European workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30‒July 3, 2008. Revised and selected papers. Berlin: Springer (ISBN 978-3-540-89721-7/pbk). Lecture Notes in Computer Science 5323. Lecture Notes in Artificial Intelligence, 15-26 (2008).
11
A dynamic Bayesian network to represent a ripening process of a soft mould cheese. (English)
Lovrek, Ignac (ed.) et al., Knowledge-based intelligent information and engineering systems. 12th international conference, KES 2008, Zagreb, Croatia, September 3‒5, 2008. Proceedings, Part II. Berlin: Springer (ISBN 978-3-540-85564-4/pbk). Lecture Notes in Computer Science 5178. Lecture Notes in Artificial Intelligence, 265-272 (2008).
12
Exploiting additive structure in factored mdps for reinforcement learning (English)
EWRL, 15-26 (2008).
13
A dynamic Bayesian network to represent a ripening process of a soft mould cheese (English)
KES (2), 265-272 (2008).
14
Learning the structure of factored Markov decision processes in reinforcement learning problems (English)
ICML, 257-264 (2006).
15
Chi-square tests driven method for learning the structure of factored mdps (English)
UAI (2006).
16
Improving MACS thanks to a comparison with 2TBNs (English)
GECCO (2), 810-823 (2004).
17
Using robdds for inference in Bayesian networks with troubleshooting as an example (English)
UAI, 426-435 (2000).
18
Top-down construction and repetetive structures representation in Bayesian networks (English)
FLAIRS Conference, 282-286 (2000).
19
Réseaux probabilistes orientés objet (English)
LMO, 123-138 (2000).
20
Result 1 to 20 of 20 total
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