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Journal Articles
- 2000
[j10]Pierre Baldi, Søren Brunak, Yves Chauvin, Claus A. F. Andersen, Henrik Nielsen
:
Assessing the accuracy of prediction algorithms for classification: an overview. Bioinform. 16(5): 412-424 (2000)- 1999
- [j9]Pierre Baldi, Søren Brunak, Yves Chauvin, Anders Gorm Pedersen:
Structural basis for triplet repeat disorders: a computational analysis. Bioinform. 15(11): 918-929 (1999) - [j8]Anders Gorm Pedersen, Pierre Baldi, Yves Chauvin, Søren Brunak:
The Biology of Eukaryotic Promoter Prediction - A Review. Comput. Chem. 23(3-4): 191-207 (1999) - 1996
- [j7]Pierre Baldi, Yves Chauvin:
Hybrid Modeling, HMM/NN Architectures, and Protein Applications. Neural Comput. 8(7): 1541-1565 (1996) - 1994
- [j6]Pierre Baldi, Yves Chauvin:
Hidden Markov Models of the G-Protein-Coupled Receptor Family. J. Comput. Biol. 1(4): 311-336 (1994) - [j5]Pierre Baldi, Yves Chauvin:
Smooth On-Line Learning Algorithms for Hidden Markov Models. Neural Comput. 6(2): 307-318 (1994) - 1993
- [j4]Pierre Baldi, Yves Chauvin:
Neural Networks for Fingerprint Recognition. Neural Comput. 5(3): 402-418 (1993) - 1991
- [j3]Yves Chauvin:
Constrained Hebbian Learning: Gradient Descent to Global Minima in an N-Dimensional Landscape. Int. J. Neural Syst. 2(1-2): 35-46 (1991) - [j2]Pierre Baldi, Yves Chauvin:
Temporal Evolution of Generalization during Learning in Linear Networks. Neural Comput. 3(4): 589-603 (1991) - [j1]Yves Chauvin:
Menix: a UNIX User Adaptable Interface. ACM SIGCHI Bull. 23(4): 64-65 (1991)
Conference and Workshop Papers
- 1998
- [c11]Pierre Baldi, Søren Brunak, Yves Chauvin, Anders Gorm Pedersen:
Computational Applications of DNA Structural Scales. ISMB 1998: 35-42 - 1996
- [c10]Anders Gorm Pedersen, Pierre Baldi, Søren Brunak, Yves Chauvin:
Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models. ISMB 1996: 182-191 - 1995
- [c9]Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh:
Periodic Sequence Patterns in Human Exons. ISMB 1995: 30-38 - [c8]Pierre Baldi, Yves Chauvin:
Protein Modeling with Hybrid Hidden Markov Model/Neural Network Architectures. ISMB 1995: 39-47 - 1993
- [c7]Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh:
Hidden Markov Models for Human Genes. NIPS 1993: 761-768 - 1992
- [c6]Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure:
Hidden Markov Models in Molecular Biology: New Algorithms and Applications. NIPS 1992: 747-754 - 1990
- [c5]Yves Chauvin:
Generalization Performance of Overtrained Back-Propagation Networks. EURASIP Workshop 1990: 46-55 - [c4]Charles Schley, Yves Chauvin, Van Henkle, Richard M. Golden:
Neural Networks Structured for Control Application to Aircraft Landing. NIPS 1990: 415-421 - [c3]Yves Chauvin:
Generalization Dynamics in LMS Trained Linear Networks. NIPS 1990: 890-896 - 1989
- [c2]Yves Chauvin:
Dynamic Behavior of Constained Back-Propagation Networks. NIPS 1989: 642-649 - 1988
- [c1]Yves Chauvin:
A Back-Propagation Algorithm with Optimal Use of Hidden Units. NIPS 1988: 519-526
Coauthor Index
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