Staff

Speaker: Bowen Hui, University of Toronto

Due to its increasing complexity, there is a need to adapt software in order to maximize end-user experience. In this talk, I will describe my PhD work on developing and learning a user model in the domain of intelligent assistance.

Friday, February 27, 2009 11:30 am - 11:30 am EST (GMT -05:00)

AI seminar: Extending environment design to a multiagent setting

Speaker: Lachlan Dufton, University of Waterloo

Policy teaching through environment design is a new framework that allows an interested party to modify an agent's environment by providing incentives, in order to achieve a desired behaviour.

Wednesday, March 25, 2009 1:30 pm - 1:30 pm EDT (GMT -04:00)

AI seminar: Optimal scheduling of contract algorithms with soft deadlines

Speaker: Angele Hamel, Wilfrid Laurier University

A contract algorithm is an algorithm which is given, as part of its input, a specified amount of allowable computation time. In contrast, interruptible algorithms may be interrupted throughout their execution, at which point they must report their current solution.

Speaker: Jesse Hoey, University of Dundee

In this talk, I will present a class of devices, called ePADs, for use by art therapists working with older adults with a progressive illness such as Alzheimer's disease.

Friday, May 1, 2009 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Active learning in regression over finite domains

Speaker: Casba Szepesvari, University of Alberta

It is known that the nonparametric minimax rate for regression in the active and passive settings are the same for various smoothness classes. In this talk, I will look into the simpler problem when the regression domain is finite, but the response variance is location dependent, i.e., the noise is heteroscedastic.