Título: Some discussion of the Machine Learning Department 
        at Carnegie Mellon University, with an illustration 
        concerning E.T.Jaynes' MaxEnt Principle.

Palestrante: Prof. Dr. Teddy Seidenfeld - Carnegie Mellon University

Data e Local: dia 13.03.06 às 16:00 hs

Local: auditório Jacy Monteiro, Bloco B - IME - USP

Resumo: 

I shall briefly summarize the unusual and exciting organization of CMUÇs
Machine Learning Department (aka, CALD = Center for Automated Learning
and Discovery). Also, I will illustrate how we merge statistical and
computer science themes in our teaching and research with a
controversial analysis of E.T.JaynesÇs Principle of Maximum Entropy.

Brief CV: Teddy Seidenfeld is University and H.A. Simon Professor of
Philosophy and Statistics at CMU. He serves with John Lafferty as
co-director of the graduate programs in the Machine Learning Department
of the School of Computer Science.  Also at CMU, during the 1990s he was
Head of the Department of Philosophy, and then Chair of the CMU Faculty
Senate. Teddy's interests are at the interface between philosophy and
statistics, often dealing with foundations of statistics, and with
problems that involve multiple decision makers.