Léon Personnaz

According to our database, Léon Personnaz authored at least 25 papers between 1987 and 2007.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2007

Enrichment or depletion of a GO category within a class of genes: which test?

Isabelle Rivals, Léon Personnaz, Lieng Taing, Marie-Claude Potier

Bioinform., 2007

2004

Jacobian Conditioning Analysis for Model Validation.

Isabelle Rivals, Léon Personnaz

Neural Comput., 2004

2003

No free lunch with the sandwich [sandwich estimator].

Isabelle Rivals, Léon Personnaz

IEEE Trans. Neural Networks, 2003

Neural-network construction and selection in nonlinear modeling.

Isabelle Rivals, Léon Personnaz

IEEE Trans. Neural Networks, 2003

MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling.

Isabelle Rivals, Léon Personnaz

J. Mach. Learn. Res., 2003

2000

Nonlinear internal model control using neural networks: application to processes with delay and design issues.

Isabelle Rivals, Léon Personnaz

IEEE Trans. Neural Networks Learn. Syst., 2000

Construction of confidence intervals for neural networks based on least squares estimation.

Isabelle Rivals, Léon Personnaz

Neural Networks, 2000

1999

On Cross Validation for Model Selection.

Isabelle Rivals, Léon Personnaz

Neural Comput., 1999

Undersampling for the training of feedback neural networks on large sequences; application to the modeling of an induction machine.

L. Constant, B. Dagues, Isabelle Rivals, Léon Personnaz

Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

1998

A recursive algorithm based on the extended Kalman filter for the training of feedforward neural models.

Isabelle Rivals, Léon Personnaz

Neurocomputing, 1998

Comment on "Discrete-time recurrent neural network architectures: A unifying review".

Léon Personnaz, Gérard Dreyfus

Neurocomputing, 1998

Comment on "Recurrent neural networks: A constructive algorithm, and its properties".

Léon Personnaz, Gérard Dreyfus

Neurocomputing, 1998

Training wavelet networks for nonlinear dynamic input-output modeling.

Yacine Oussar, Isabelle Rivals, Léon Personnaz, Gérard Dreyfus

Neurocomputing, 1998

1994

Training recurrent neural networks: why and how? An illustration in dynamical process modeling.

Olivier Nerrand, Pierre Roussel-Ragot, Dominique Urbani, Léon Personnaz, Gérard Dreyfus

IEEE Trans. Neural Networks, 1994

Pairwise Neural Network Classifiers with Probabilistic Outputs.

David Price, Stefan Knerr, Léon Personnaz, Gérard Dreyfus

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms.

Olivier Nerrand, Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, Sylvie Marcos

Neural Comput., 1993

Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus.

Christiane Linster, Claudine Masson, Michel Kerszberg, Léon Personnaz, Gérard Dreyfus

Neural Comput., 1993

1992

Handwritten digit recognition by neural networks with single-layer training.

Stefan Knerr, Léon Personnaz, Gérard Dreyfus

IEEE Trans. Neural Networks, 1992

Specification and implementation of a digital Hopfield-type associative memory with on-chip training.

Anne Johannet, Léon Personnaz, Gérard Dreyfus, Jean-Dominique Gascuel, Michel Weinfeld

IEEE Trans. Neural Networks, 1992

A unified framework for gradient algorithms used for filter adaptation and neural network training.

Sylvie Marcos, Odile Macchi, Christophe Vignat, Gérard Dreyfus, Léon Personnaz, Pierre Roussel-Ragot

Int. J. Circuit Theory Appl., 1992

A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytic Results.

Christiane Linster, David Marsan, Claudine Masson, Michel Kerszberg, Gérard Dreyfus, Léon Personnaz

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1990

Neural Network Models and Applications: an Overview.

Léon Personnaz, Gérard Dreyfus

Proceedings of the Modelling the Innovation: Communications, 1990

1989

Neurocomputing in France.

Léon Personnaz, Gérard Dreyfus

Neurocomputing, 1989

Single-layer learning revisited: a stepwise procedure for building and training a neural network.

Stefan Knerr, Léon Personnaz, Gérard Dreyfus

Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

1987

High Order Neural Networks for Efficient Associative Memory Design.

Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987