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Friday, October 26, 2007 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Finding experts by link prediction in co-authorship networks

Speaker: Milen Pavlov

Research collaborations are always encouraged, as they often yield good results. However, researcher networks contain massive amounts of experts in various disciplines and it is difficult for the individual researcher to decide which experts will match his own expertise best.

Friday, November 9, 2007 11:30 am - 11:30 am EST (GMT -05:00)

AI seminar: What can agents achieve? A logical theory of joint ability in teamwork

Speaker: Hojjat Ghaderi, University of Toronto

The coordination of cooperating but autonomous agents is a core problem in multiagent systems research. A team of agents is said to have joint ability to achieve a goal if despite any incomplete knowledge or even false beliefs that they may have about the world or each others, they still know enough to get to a goal state, should they choose to do so.

Friday, December 14, 2007 11:30 am - 11:30 am EST (GMT -05:00)

AI seminar: Clustering the google distance using graph cuts

Speaker: Thomas Zeugmann, Hokkaido University, Japan

Clustering algorithms working with a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clustering algorithms. In contrast, algorithms working with the pairwise distance matrix have been studied rarely for clustering. This is surprising, as in many applications, distances are directly given, and computing similarities involves another step that is error-prone, since the kernel has to be chosen appropriately, albeit computationally cheap.

Saturday, March 15, 2008 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Qualification and elimination in the NHL using constraint programming

Speaker: Tyrel Russell

Sports fans in many sports anxiously watch their team's performances and their chances of winning a championship or securing a playoff spot. Typically, they obtain their information from major newspapers and websites, which publish standings along with remarks on the qualification and elimination of the individual teams.

Speaker: Daniel Saunders (Queens University)

There has been much debate about the nature of the processes involved in biological motion perception. In contrast to previous views, Jastorff et al. (2007) provided evidence that biological motion is understood via a mechanism that is specialized, but also relatively plastic, alterable over the course of hours rather than years.

Friday, June 20, 2008 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Explaining recommendations generated by MDPs

Speaker: Omar Zia Khan

There has been little work in explaining recommendations generated by Markov Decision Processes (MDPs). We analyze the difficulty of explaining policies computed automatically and identify a set of templates that can be used to generate explanations automatically at run-time.

Friday, June 27, 2008 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Distance metric learning versus Fisher discriminant analysis

Speaker: Babak Alipanahi

There has been much recent attention to the problem of learning an appropriate distance metric, using class labels or other side information. Some proposed algorithms are iterative and computationally expensive.

Friday, September 12, 2008 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Mechanism design using scoring rules

Speaker: Enrico Gerding, University of Southampton

Scoring rules are originally used to reward probabilistic estimates such as weather forecasts, where the score or utility that an agent receives depends on the materialized outcome of the prediction. Strictly proper scoring rule are a class of scoring rule which are designed such that they incentivize utility-maximizing agents to reveal the entire probability distribution truthfully.

Friday, September 26, 2008 11:30 am - 11:30 am EDT (GMT -04:00)

AI seminar: Smart walker project - An AI perspective

Speaker: Pascal Poupart, Allan Caine, Farheen Omar and Adam Hartfield

Walkers are becoming an increasingly popular mobility aid among older adults. While they are designed to improve balance, the fact that many walkers have wheels, it is not clear whether stability is enhanced or jeopardized.