Speaker: Stuart Russell , Computer Science, University of California, Berkeley
Abstract: We are often uncertain about the identity of objects. This phenomenon appears in theories of object persistence in early childhood; in the well-known Morning Star/Evening Star example; in tracking and data association systems for radar; in security systems based on personal identification; in database cleaning and merging; and in many aspects of our everyday lives.
I will present a probabilistic approach to reasoning about identity under uncertainty, with applications to wide-area freeway traffic monitoring and bibliographic citation databases. The approach is embodied within a formal language for representing probability models that include identity uncertainty.
Short Bio: Please see the speaker home page.
Host (at NCSU): Jon Doyle, Computer Science
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