 Atelier sur l’exploration de données et programmation mathématique10 au 13 octobre 2006Programme |
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Le mardi 10 octobre 2006 |
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08:30 - 09:20
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Inscription
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Salle 5345
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Salle de réunion : 6214 |
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09:30 - 09:35
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Mots de bienvenue Odile Marcotte
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09:35 - 09:45
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Introduction Pierre Hansen
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09:45 - 10:45
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Olvi L. Mangasarian
(University of Wisconsin, Madison) Nonlinear Knowledge in Kernel Machines | Résumé |
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11:00 - 12:00
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Yoshua Bengio
(Université de Montréal) Facing Non-Convex Optimization to Scale Machine Learning to AI | Résumé |
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Salle de réunion : 6214 |
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14:00 - 15:00
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Emilio Carrizosa
(Universidad de Sevilla) Linear Classifiers and arbitrary distance minimization | Résumé |
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15:15 - 16:15
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Pierre Legendre
(Université de Montréal) What are the important spatial scales in an ecosystem? | Résumé |
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16:30 - 17:10
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Vladimir Makarenkov
(Université du Québec à Montréal) Efficient algorithms for modeling complete and partial horizontal gene transfer scenarios | Résumé |
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17:20 - 18:20
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Kristin Bennett
(Rensselaer Polytechnic Institute) Model Selection via Bilevel Optimization | Résumé |
Le mercredi 11 octobre 2006 |
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Salle de réunion : 6214 |
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09:00 - 10:00
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Peter L. Hammer
(Rutgers University) Optimization Models for Logical Analysis of Data | Résumé |
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10:15 - 11:15
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Boris Mirkin
(Birkbeck College) L2 and L1 methods for bilinear K-Means clustering | Résumé |
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11:30 - 12:30
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Panos Pardalos
(University of Florida) Supervised and Unsupervised Consistent Biclustering | Résumé |
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Salle de réunion : 6214 |
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14:30 - 15:30
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Musa Mammadov
(University of Ballarat) A new approach to data classification and its applications to adverse drug reaction problems | Résumé |
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15:45 - 16:45
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Art Chaovalitwongse
(Rutgers University) Optimization-Based Data Mining Approaches in Neuroscience Research | Résumé |
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17:00 - 18:00
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Sergiy Butenko
(Texas A&M University) On models of clusters in graph-based data mining | Résumé |
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18:00
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Cocktail de bienvenue
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Salle 6245
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Le jeudi 12 octobre 2006 |
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Salle de réunion : 6214 |
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09:00 - 10:00
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Steve Smale
(University of California at Berkeley) Patterns in data | Résumé |
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10:15 - 11:15
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Pando G. Georgiev
(University of Cincinnati) Subspace clustering under constraints - a new kind of classifiers | Résumé |
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11:30 - 12:30
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Mario Guarracino
(ICAR-CNR) A constructive approach to incremental learning | Résumé |
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Salle de réunion : 6214 |
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14:30 - 15:30
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Fionn Murtagh
(Royal Holloway, University of London) Ultrametric Embedding: Application to Data Fingerprinting and to Fast Data Clustering | Résumé |
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15:45 - 16:45
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Jiming Peng
(McMaster University) 0-1 Semidefinite Programming for Graph-Cut Clustering: Modelling and Approximation | Résumé |
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17:00 - 18:00
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Carlos Oliveira
(Oklahoma State University) Mathematical programming models in Ad hoc network optimization | Résumé |
Le vendredi 13 octobre 2006 |
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Salle de réunion : 6214 |
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09:00 - 10:00
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Dolores Romero Morales
(University of Oxford) A Column Generation Approach for Support Vector Machines | Résumé |
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10:15 - 11:15
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Gilles Caporossi
(HEC) Finding relations between graph invariants | Résumé |
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11:30 - 12:30
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Onur Seref
(University of Florida) Selective Support Vector Machines | Résumé |
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Salle de réunion : 6214 |
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14:30 - 15:30
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Nenad Mladenovic
(Brunel University West London) Solving Large p-Median Problem with Primal-Dual Variable Neighborhood Search | Résumé |
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15:45 - 16:45
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Jean-Pierre Barthélémy
(ENST Bretagne) Rigid hypergraphs: combinatorial optimization problems in clustering and similarity analysis | Résumé |
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17:00 - 17:40
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Khalid Chenguiti
(Université de Sherbrooke) Functional data analysis methods | Résumé |
Mise à jour: Le vendredi 29 septembre 2006 12:33