AIC Seminar Series

Uncertainty is ubiquitous in the real world, and probability provides a sound way to reason under uncertainty. This fact has led to a plethora of probabilistic representation languages such as Bayesian networks, hidden Markov models and stochastic context-free grammars. More recently, we have developed new probabilistic languages that reason at the level of object, such as object-oriented Bayesian networks and probabilistic relational models. The wide variety of languages leads to the question of whether a general purpose probabilistic modeling language can be developed that encompasses all of them. This talk will describe IBAL, an attempt at developing such a language. After presenting the IBAL language, motivating considerations for the inference algorithm will be discussed, and the mechanism for IBAL inference will be described.

Please arrive at least 10 minutes early as you will need to sign in by following instructions by the lobby phone at Building E. SRI is located at 333 Ravenswood Avenue in Menlo Park. Visitors may park in the parking lots off Fourth Street. Detailed directions to SRI, as well as maps, are available from the Visiting AIC web page. There are two entrances to SRI International located on Ravenswood Ave. Please check the Builing E entrance signage.

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