mining

Multi-format Environmental Information Dissemination

Chef de projet: 

Dr. Guy Lapalme, Université de Montréal

This project will explore new ways of customizing and translating the mass of daily information produced by Environment Canada (EC). This information in digital format is later transformed into weather and environmental forecasts, warnings and alerts that must be broadcast in real-time in at least two languages, in many different formats and in a way that takes location into account.

Équipe: 
Dr. Philippe Langlais, Université de Montréal
Dr. Pascal Vincent, Université de Montréal
Fabrizio Gotti, Université de Montréal
Participants non académiques: 
Période de financement: 
April 1, 2009 - March 31, 2012

Statistical Learning of Complex Data with Complex Distributions

Chef de projet: 

Dr. Yoshua Bengio, Université de Montréal

Statistical machine learning is an endeavor in which statisticians and computer scientists use computation to identify useful information from large amounts of data. Telecommunications, insurance and pharmaceutical companies use the team’s machine learning and data mining techniques to determine customer patterns, predict future customer behavior and better understand their needs. The project addresses some of the main practical and theoretical difficulties encountered when dealing with large datasets.

Équipe: 
Dr. Hugh Chipman, Acadia University
Dr. Dale Schuurmans, University of Alberta
Dr. Pascal Vincent, Université de Montréal
Dr. Shai Ben-David, University of Waterloo
Période de financement: 
February 25, 1999 - March 31, 2011