AIC Seminar Series
Turning Probabilistic Reasoning into Programming
Date: 2003-11-07 at 10:00
Location: EJ291 (Directions)
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 in order to sign in and be escorted to the conference room. SRI is located at 333 Ravenswood Avenue in Menlo Park. Visitors may park in the visitors lot in front of Building E, and should follow the instructions by the lobby phone to be escorted to the meeting room. Detailed directions to SRI, as well as maps, are available from the Visiting AIC web page.
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