LIP6 CNRS Sorbonne Université Tremplin Carnot Interfaces
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Current teams : ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MLIA MOCAH MoVe NPA PEQUAN Phare PolSys QI RO SMA SYEL Whisper
Former teams : AnimatLab MALIRE REGAL SALSA SPI SPIRAL
Former research topics : ANP APA ASIM CALFOR OASIS RP SPI SRC SYSDEF
LIP6
  • B. Bouchon‑Meunier, Ch. Marsala : “Fuzzy Decision Trees and Databases”, chapter in Flexible Query-Answering Systems, T. Andreasen, H. Christiansen, H. Larsen (Eds.), pp. 277-288, (Kluwer) [Bouchon-Meunier 1997a]
  • B. Bouchon‑Meunier, Ch. Marsala, M. Ramdani : “Learning from Imperfect Data”, chapter in Fuzzy set methods in information engineering : a guided tour of applications, D. Dubois, H. Prade, Ronald R. Yager (Eds.), (John Wiley and Sons) [Bouchon-Meunier 1997b]
  • B. Bouchon‑Meunier, M. Rifqi : “OWA operators and an extension of the contrast model”, chapter in The Ordered Weighted Averaging Operators: Theory, Methodology, and Applications, Ronald R. Yager, J. Kacprzyk (Eds.), pp. 29-35, (Kluwer Academic Publishers) [Bouchon-Meunier 1997e]
  • H. Chen, B. Mantel, J. Périaux, M. Sefrioui : “Solution of some non-linear fluid dynamics problems by means of genetic algorithms”, chapter in Experimentation, Modelling and Computation in Flow, Turbulence and Combustion, vol. 2, B. Chetverushkin, J.-A. Désidéri, Yuri A. Kuznetsov, K. A. Muzafarov, J. Périaux, O. Pironneau (Eds.), pp. 181-194 [Chen 1997]
  • P. Gallinari : “Heuristiques pour la généralisation”, chapitre de Statistiques et méthodes neuronales, (Dunod) [Gallinari 1997a]
  • P. Gallinari : “Méthodes neuronales de discrimination”, chapitre de Statistiques et méthodes neuronales, pp. 31-51, (Dunod) [Gallinari 1997b]
  • P. Gallinari, T. Cibas : “Complexity control and generalization in multilayer perceptrons”, chapter in Bio-mimetic approaches in management science, vol. 1, Advances in Computational Management Science, pp. 13-25, (Springer) [Gallinari 1997d]
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