Montreal Workshop and Spring School
on Artificial Neural Networks and Learning Algorithms
April 15-30 1996
Centre de Recherche Mathématique, Université de Montréal
This workshop and concentrated course on
artificial neural networks and learning algorithms is
organized by the Centre de Recherches
Mathematiques of the University of Montreal (Montreal, Quebec,
Canada). The first week of the the workshop will
concentrate on learning theory, statistics, and generalization.
The second week (and beginning of third)
will concentrate on learning algorithms, architectures,
applications and implementations.
The organizers of the workshop are Bernard Goulard (Montreal),
Yoshua Bengio (Montreal), Bertrand Giraud (CEA Saclay, France)
and Renato De Mori (McGill).
The invited speakers are G. Hinton (Toronto), V. Vapnik (AT&T),
M. Jordan (MIT), H. Bourlard (Mons), T. Hastie (Stanford),
R. Tibshirani (Toronto), F. Girosi (MIT), M. Mozer (Boulder),
J.P. Nadal (ENS, Paris), Y. Le Cun (AT&T), M. Marchand (U of Ottawa),
J. Shawe-Taylor (London), L. Bottou (Paris), F. Pineda (Baltimore),
P. Refenes (London), S. Bengio (INRS Montreal), J. Cloutier (Montreal),
S. Haykin (McMaster), M. Gori (Florence), J. Pollack (Brandeis),
S. Becker (McMaster), Y. Bengio (Montreal), S. Nowlan (Motorola),
P. Simard (AT&T), G. Dreyfus (ESPCI Paris),
P. Dayan (MIT), N. Intrator (Tel Aviv),
B. Giraud (France), H.P. Graf (AT&T).
Summaries of most of the speakers presentations can be
found here, or accessed by clicking
on the individual speakers in the program below.
These summaries also contain pointers to relevant litterature
and home pages of the speakers on the Web. The references
page can also be directly accessed from
here.
Tentative schedule
The lectures will take place in room 5340 (5th floor)
of the Pavillon Andre-Aisenstadt
on the campus of the Universite de Montreal
(also known as the Pavillon des sciences
mathematiques et informatiques).
Week 1
Introduction, learning theory and statistics