Staff

Speaker: David Poole (University of British Columbia)

This tutorial gives an overview of rich representations for probabilistic reasoning. The first third of the tutorial gives the basics of logic, knowledge representation and probability.

Speaker: Wei Li

The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work demonstrates that the well-known Davis-Putnam procedure combined with a dynamic decomposition and caching technique is an effective method for exact inference in Bayesian networks with high density and width.

Speaker: Delbert Dueck

While many clustering methods assume clusters are described by parameters or points in a vector space, an alternative approach is to identify a set of training cases as 'exemplars' and then assign every other training case to an exemplar.

Speaker: Alex Lopez-Ortiz

Consider the scenario of routing of a Fedex delivery van. The packages to be delivered are received by midnight and delivery starts at 7:00am. This means we have seven hours to compute the best possible approximation to the optimum Travelling Salesman Path computable in that time.

Speaker: Allan Caine

In this talk, we propose a model called MITS --- Mixed Initiative Intelligent Tutoring System for Sudoku.

Speaker: Martin Talbot

Users who are blind, or whose visual attention is otherwise occupied, can benefit from an auditory representation of their immediate environment. To create it a video camera senses the environment, which is converted into synthetic audio streams that represent objects in the environment. What aspects of the audio signal best encode this information?

Speaker: Georgia Kastidou

In this paper, we present a model for delivering personalized ads to users while they are watching TV shows. Our approach is to model user preferences, based on characterizing not only the keywords of primary interest but also the relative weighting of those keywords.

Speaker: Allan Caine

In this talk, we will present the 2D Stockwell transform (2D s-transform) and its application to image processing.

Speaker: Jie Zhang

In multiagent systems populated by self-interested agents, consumer agents would benefit by modeling the reputation of provider agents, in order to make effective decisions about which agents to trust. One method for representing reputation is to ask other agents in the system (called advisor agents) to provide ratings of the provider agents.

Speaker: Derek Koehler (Cognitive Psychology)

A stock market simulation tested whether known biases in probability judgment are attenuated in an asset pricing setting.