Team tao

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Bibliography

Publications of the year

Books and Monographs

[1]
Change Point Detection and Meta-Bandits for Online Learning in Dynamic Environments, Cepadues, 2007, p. 237-250
http://hal.inria.fr/inria-00164033/en/.
[2]
O. Teytaud, C. Antonini, P. Borgnat, A. Chateau, E. Lebeau.
Mathématiques pour l'agrégation, Dunod, 2007
http://hal.inria.fr/inria-00173250/en/.

Doctoral dissertations and Habilitation theses

[3]
S. Gelly.
Une contribution à l'apprendissage par renforcement ; application au Computer GO, Ph. D. Thesis, Université Paris-Sud, September 2007
http://tao.lri.fr/Papers/thesesTAO/SylvainGellyThesis.pdf.

Articles in refereed journals and book chapters

[4]
A. Eiben, Z. Michalewicz, M. Schoenauer, J. Smith.
Parameter Control in Evolutionary Algorithms, in: Parameter Setting in Evolutionary Algorithms, F. G. Lobo, C. F. Lima, Z. Michalewicz (editors), Studies in Computational Intelligence, Springer Verlag, 2007, vol. 54, p. 19-46
http://www.springerlink.com/content/978-3-540-69431-1/.
[5]
S. Gelly, R. Munos.
L'Ordinateur, champion de go ?, in: Pour la sciences, 2007, vol. 354, p. 28-35
http://hal.inria.fr/inria-00177084/en/.
[6]
S. Gelly, S. Ruette, O. Teytaud.
Comparison-based Algorithms are Robust and Randomized Algorithms are Anytime, in: Evolutionary Computation Journal, 2007, vol. 15, no 4, p. 411-434
http://hal.inria.fr/inria-00173221/en/.
[7]
F. Mareuil, C. Sizun, J. Perez, M. Schoenauer, J.-Y. Lallemand, F. Bontems.
A simple genetic algorithm for the optimization of multidomain protein homology models driven by NMR residual dipolar coupling and small angle X-ray scattering data, in: European Biophysics Journal, 2007, vol. 37, p. 95-104
http://hal.inria.fr/inria-00177279/en/.
[8]
M. Schoenauer, P. Savéant, V. Vidal.
Divide-and-Evolve: a Sequential Hybridization Strategy using Evolutionary Algorithms, in: Advances in Metaheuristics for Hard Optimization, Z. Michalewicz, P. Siarry (editors), Natural Computing Series, Springer Verlag, 2007, p. 179-198
http://hal.inria.fr/inria-00176967/en/.
[9]
O. Teytaud.
On the hardness of offline multiobjective optimization, in: Evolutionary Computation Journal, 2007, vol. 15, no 4, p. 475-491
http://hal.inria.fr/inria-00173239/en/.

Publications in Conferences and Workshops

[10]
A. Auger, O. Teytaud.
Continuous lunches are free!, in: GECCO, London Royaume-Uni, D. Thierens, et al (editors), 2007, p. 916-921
http://hal.inria.fr/inria-00173209/en/.
[11]
N. Baskiotis, M. Sebag.
Structural Statistical Software Testing with Active Learning in a Graph, in: 17th Annual International Conference on Inductive Logic Programming, Oregon États-Unis d'Amérique, 2007
http://hal.inria.fr/inria-00171162/en/.
[12]
N. Baskiotis, M. Sebag, M.-C. Gaudel, S.-D. Gouraud.
A Machine Learning approach for Statistical Software Testing, in: Twentieth International Joint Conference on Artificial Intelligence, 01 2007, p. 2274-2279
http://hal.inria.fr/inria-00112681/en/.
[13]
N. Baskiotis, M. Sebag, O. Teytaud.
Inductive-deductive systems: a mathematical logic and statistical learning perspective, in: CAp'07, Grenoble France, Cepadues, 2007
http://hal.inria.fr/inria-00173259/en/.
[14]
P. Caillou, F. Dubut, M. Sebag.
Economy-driven Shaping of Social Networks and Emerging Class Behaviors, in: Artificial Economics 2007 Artificial Markets Modeling LNEMS, Palerme Italie, A. Consiglio (editor), LNEMS, Springer Verlag, 2007, vol. 599, p. 195-208
http://hal.inria.fr/inria-00166089/en/.
[15]
P. Caillou, F. Dubut, M. Sebag.
Prêts bilatéraux et réseaux sociaux, in: Modelling and learning in Social and Human Sciences MASHS 07, Brest France, 2007
http://hal.inria.fr/inria-00167459/en/.
[16]
P. Caillou, M. Sebag, F. Dubut.
Negotiation protocols and dynamic social networks, in: Multi-Agents for modeling Complex Systems (MA4CS'07) Satellite Workshop of the European Conference on Complex Systems (ECCS'07), Dresde Allemagne, 2007
http://hal.inria.fr/inria-00167465/en/.
[17]
L. DaCosta, M. Schoenauer.
GUIDE, a Graphical User Interface for Evolutionary Algorithms Design, in: GECCO Workshop on Open-Source Software for Applied Genetic and Evolutionary Computation (SoftGEC), J. H. Moore (editor), 2007.
[18]
A. Devert, N. Bredèche, M. Schoenauer.
Robust Multi-Cellular Developmental Design, in: GECCO, London, D. Thierens, et al (editors), ACM Press, ACM SIGEVO , 07 2007, p. 982-989
http://hal.inria.fr/inria-00145336/en/.
[19]
A. Devert, N. Bredèche, M. Schoenauer.
Unsupervised Learning of Echo State Networks: A case study in Artificial Embryogeny., in: Evolution Artificielle, Tours France, 2007, 12 pages p
http://hal.inria.fr/inria-00174593/en/.
[20]
C. Furtlehner, J.-M. Lasgouttes.
A queueing theory approach for a multi-speed exclusion process., in: Traffic and Granular Flow '07, Orsay France, 10 pages, 6 figures, 10 2007, unknown yet p
http://hal.archives-ouvertes.fr/hal-00175628/en/.
[21]
C. Furtlehner, J.-M. Lasgouttes, A. De La Fortelle.
A Belief Propagation Approach to Traffic Prediction using Probe Vehicles, in: 10th International IEEE Conference on Intelligent Transportation Systems, Seattle États-Unis d'Amérique, 6 pages, 5 figures, 10 2007, p. pp. 1022-1027
http://hal.archives-ouvertes.fr/hal-00175627/en/.
[22]
C. Gagné, M. Sebag, M. Schoenauer, M. Tomassini.
Ensemble Learning for Free with Evolutionary Algorithms ?, in: GECCO, London Royaume-Uni, D. Thierens, et al (editors), ACM, ACM SIGEVO , 2007, p. 1782-1789
http://hal.inria.fr/inria-00144010/en/.
[23]
R. Gaudel, A. Cornuéjols.
Combining feature ranking methods for high dimensional data analysis, in: 5th Workshop on Statistical Methods for Post-Genomic Data, Paris France, 2007
http://hal.inria.fr/inria-00181429/en/.
[24]
R. Gaudel, M. Sebag, A. Cornuéjols.
A Phase Transition-based Perspective on Multiple Instance Kernels, in: Conférence francophone sur l'apprentissage automatique, Grenoble France, Jean-Daniel Zucker, Antoine Cornuéjols , 2007, p. 173–186
http://hal.inria.fr/inria-00171406/en/.
[25]
R. Gaudel, M. Sebag, A. Cornuéjols.
A Phase Transition-Based Perspective on Multiple Instance Kernels, in: ILP 2007, Corvallis États-Unis d'Amérique, Jude Shavlik, Hendrik Blockeel, Prasad Tadepalli , 2007
http://hal.inria.fr/inria-00175300/en/.
[26]
S. Gelly, D. Silver.
Combining Online and Offline Knowledge in UCT, in: Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), Z. Ghahramani (editor), Omnipress, 2007, p. 273–280
http://hal.inria.fr/inria-00164003/en/.
[27]
C. Hartland, N. Bredèche.
Using Echo State Networks for Robot Navigation Behavior Acquisition, in: ROBIO 07, Sanya Chine, 2007
http://hal.inria.fr/inria-00176817/en/.
[28]
M. Jebalia, A. Auger.
On the convergence of the (1+1)-ES in noisy spherical environments, in: Evolution Artificielle, Tours France, 2007
http://hal.inria.fr/inria-00173483/en/.
[29]
M. Jebalia, A. Auger, M. Schoenauer, F. James, M. Postel.
Identification of the Isotherm Function in Chromatography Using CMA-ES, in: IEEE Congress on Evolutionary Computation, Singapour, 2007, p. 1879-1886
http://hal.inria.fr/inria-00175852/en/.
[30]
F. Jiang, H. Berry, M. Schoenauer.
Optimising the topology of complex neural networks, in: ECCS'07, Dresden Allemagne, J. Jost (editor), Complex Systesms Society , 2007
http://hal.inria.fr/inria-00175721/en/.
[31]
S. Kern, N. Hansen, P. Koumoutsakos.
Fast Quadratic Local Meta-Models for Evolutionary Optimization of Anguilliform Swimmers, in: EUROGEN 2007, Helsinki Finlande, Neittaanmaki (editor), 2007
http://hal.inria.fr/inria-00173469/en/.
[32]
N. Le Roux, Y. Bengio, P. Lamblin, M. Joliveau, B. Kégl.
Learning the 2-D Topology of Images, in: Advances in Neural Information Processing Systems, Vancouver Canada, 2007
http://hal.inria.fr/inria-00176067/en/.
[33]
J. Perez, C. Germain-Renaud, B. Kégl.
Predicting Bounds on Queuing Delay in the EGEE grid, in: 2nd EGEE User Forum, Manchester Royaume-Uni, 2007
http://hal.inria.fr/inria-00174290/en/.
[34]
D. Tessier, M. Schoenauer, C. Biernacki, G. Celeux, G. Govaert.
Parameter Setting for Evolutionary Latent Class Clustering, in: Second International Symposium, ISICA 2007 LNCS, Wuhan Chine, L. Kang, Y. Liu, S. Y. Zeng (editors), LNCS, Springer Verlag, 2007, vol. 4683, p. 472-484
http://hal.inria.fr/inria-00179186/en/.
[35]
O. Teytaud, A. Auger.
On the adaptation of the noise level for stochastic optimization, in: IEEE Congress on Evolutionary Computation, Singapour, 2007, 2030,2037 p
http://hal.inria.fr/inria-00173224/en/.
[36]
O. Teytaud.
Conditionning, halting criteria and choosing lambda, in: EA07, Tours France, 2007
http://hal.inria.fr/inria-00173237/en/.
[37]
O. Teytaud.
Slightly beyond Turing-Computability for studying Genetic Programming, in: MCU'07, Orléans France, 2007
http://hal.inria.fr/inria-00173241/en/.
[38]
O. Teytaud, S. Gelly.
DCMA, yet another derandomization in covariance-matrix-adaptation, in: GECCO, London Royaume-Uni, D. Thierens, et al (editors), 2007, p. 955-922
http://hal.inria.fr/inria-00173207/en/.
[39]
O. Teytaud, S. Gelly.
Non linear programming for stochastic dynamic programming, in: Icinco 2007, Angers France, 2007
http://hal.inria.fr/inria-00173202/en/.
[40]
O. Teytaud, S. Gelly, J. Mary.
Active learning in regression, with an application to stochastic dynamic programming, in: ICINCO 2007, Angers France, 2007
http://hal.inria.fr/inria-00173204/en/.
[41]
O. Teytaud, S. Gelly, M. Sebag.
Anytime many-armed bandits, in: CAp'07, Grenoble France, Cepadues, 2007
http://hal.inria.fr/inria-00173263/en/.
[42]
C. Tijus, N. Bredèche, Y. Kodratoff, M. Felkin, C. Hartland, E. Zibetti, V. Besson.
Human Heuristics for a Team of Mobile Robots, in: IEEE International Conference on Research, Innovation and Vision for the Future, Hanoi Viet Nam, 2007, p. pp.122-129
http://hal.inria.fr/inria-00175523/en/.
[43]
X. Zhang, M. Sebag, C. Germain-Renaud.
Fault Detection and Diagnosis from the Logging and Bookkeping Data, in: 2nd EGEE User Forum, Manchester Royaume-Uni, 2007
http://hal.inria.fr/inria-00174286/en/.
[44]
X. Zhang, M. Sebag, C. Germain-Renaud.
Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping files, in: DSMM07, Omaha États-Unis d'Amérique, 2007
http://hal.inria.fr/inria-00174285/en/.

Internal Reports

[45]
C. Furtlehner, J.-M. Lasgouttes, A. De La Fortelle.
Belief Propagation and Bethe approximation for Traffic Prediction, 29 pages, 7 figures, INRIA, 2007, no RR-6144
http://hal.inria.fr/inria-00136657/en/.

Miscellaneous

[46]
H. Hamda, M. Schoenauer, P. Morel.
A(rt)lgorithm, design informed by mathematics, April-October 2007
http://www.inria.fr/saclay/ressources-1/computer-culture/artlgorithm/view?set_language=en, Centre Pompidou, Collection permanente.

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