Yves Chauvin

According to our database1, Yves Chauvin authored at least 21 papers between 1988 and 2000.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2000
Assessing the accuracy of prediction algorithms for classification: an overview.
Bioinform., 2000

1999
The Biology of Eukaryotic Promoter Prediction - A Review.
Comput. Chem., 1999

Structural basis for triplet repeat disorders: a computational analysis.
Bioinform., 1999

1998
Computational Applications of DNA Structural Scales.
Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28, 1998

1996
Hybrid Modeling, HMM/NN Architectures, and Protein Applications.
Neural Comput., 1996

Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models.
Proceedings of the Fourth International Conference on Intelligent Systems for Molecular Biology, 1996

1995
Protein Modeling with Hybrid Hidden Markov Model/Neural Network Architectures.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

Periodic Sequence Patterns in Human Exons.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994
Smooth On-Line Learning Algorithms for Hidden Markov Models.
Neural Comput., 1994

Hidden Markov Models of the G-Protein-Coupled Receptor Family.
J. Comput. Biol., 1994

1993
Neural Networks for Fingerprint Recognition.
Neural Comput., 1993

Hidden Markov Models for Human Genes.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Hidden Markov Models in Molecular Biology: New Algorithms and Applications.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Menix: a UNIX User Adaptable Interface.
ACM SIGCHI Bull., 1991

Temporal Evolution of Generalization during Learning in Linear Networks.
Neural Comput., 1991

Constrained Hebbian Learning: Gradient Descent to Global Minima in an N-Dimensional Landscape.
Int. J. Neural Syst., 1991

1990
Neural Networks Structured for Control Application to Aircraft Landing.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Generalization Dynamics in LMS Trained Linear Networks.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Generalization Performance of Overtrained Back-Propagation Networks.
Proceedings of the Neural Networks, 1990

1989
Dynamic Behavior of Constained Back-Propagation Networks.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
A Back-Propagation Algorithm with Optimal Use of Hidden Units.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988


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