INTRODUCTION
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Mardi 23 mai / Tuesday, May 23
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08:30 - 09:00
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Inscription (Salle 5345) • Café / (salle 6245) /
Registration (Room 5345) • Coffee (Room 6245)
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09:00 - 09:30
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Bienvenue et introduction /
Welcome and introduction
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09:30 - 10:30
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Russell Steele (McGill)
Basic statistical inference vs. machine learning
terminology |
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Pause café • Coffee Break (Salle / Room 6245)
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10:45 - 11:45
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Russell Steele (McGill)
Bootstrapping/CV/Bayesian methods for penalizing complexity |
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Lunch |
13:00 - 14:00
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Software introduction |
14:00 - 15:30
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Laboratoire informatique / Computing Lab
(Salle / Room 1340) |
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Pause café • Coffee Break (Salle / Room 6245) |
16:00 - 17:00
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Laboratoire informatique / Computing Lab
(Salle / Room 1340) |
NEURAL NETWORKS
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Mercredi 24 mai / Wednesday, May 24 |
09:00 - 09:45
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Helmut Kroger (Laval)
Background and history |
09:45 - 10:45
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Doina Precup (McGill)
Machine learning perspective |
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Pause café • Coffee Break (Salle / Room 6245)
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11:00 - 11:45
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Antonio Ciampi (McGill)
Bayesian approaches |
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Lunch |
13:00 - 14:00
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Hugh Chipman (Acadia) & Antonio Ciampi (McGill)
Model selection issues |
14:00 - 15:30
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Laboratoire informatique / Computing Lab (Salle / Room 1340) |
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Pause café • Coffee Break (Salle / Room 6245) |
16:00 - 17:00
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Laboratoire informatique / Computing Lab (Salle / Room 1340) |
MODEL-BASED CLUSTERING
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Jeudi 25 mai / Thursday, May 25 |
09:00 - 09:45
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Russell Steele (McGill)
Background |
09:45 - 10:30
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Russell Steele (McGill)
Machine learning perspective |
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Pause café • Coffee Break (Salle / Room 6245)
|
10:45 - 11:45
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Russell Steele (McGill)
Bayesian approaches |
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Lunch |
13:00 - 14:00
|
Russell Steele (McGill)
Model selection issues |
14:00 - 15:30
|
Laboratoire informatique / Computing Lab (Salle / Room 1340) |
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Pause café • Coffee Break (Salle / Room 6245)
|
16:00 - 17:00
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Laboratoire informatique / Computing Lab (Salle / Room 1340) |
SUPPORT VECTOR MACHINE
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Vendredi 26 mai / Friday, May 26 |
09:00 - 09:45
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Ji Zhu (Michigan)
Background |
09:45 - 10:30
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Ji Zhu (Michigan)
Statistical learning interpretation |
10:30 - 10:45
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Pause café • Coffee Break (Salle / Room 6245)
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10:45 - 11:45
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Doina Precup (McGill)
Dangers of Using SVM's |
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Lunch |
13:00 - 14:00
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Doina Precup (McGill)
Applications |
14:00 - 15:30
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Laboratoire informatique / Computing Lab (Salle / Room 1340) |
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Pause café • Coffee Break (Salle / Room 6245)
|
16:00 - 17:00
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Laboratoire informatique / Computing Lab (Salle / Room 1340) |
MANIFOLD LEARNING
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Samedi 27 mai / Saturday, May 27 |
09:00 - 09:45
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Yoshua Bengio (Montreal)
Background |
09:45 - 10:30
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Yoshua Bengio (Montreal)
Statistical learning interpretation |
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Pause café • Coffee Break (Salle / Room 6245)
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10:45 - 11:45
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Helmut Kroger (Laval)
Kohonen map connections |
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Lunch |
13:00 - 14:00
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Yoshua Bengio (Montreal)
Connections with semi-supervised learning |
14:00 - 15:30
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Laboratoire informatique / Computing Lab (Salle / Room 1340) |
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Pause café • Coffee Break (Salle / Room 6245)
|
16:00 - 17:00
|
Laboratoire informatique / Computing Lab (Salle / Room 1340) |