
FREE
for Members
Statistical Machine Learning: Theory and Applications
Wednesday, April 25, 2012
Presented By
Over the course of the last few decades a vibrant field of research has emerged at the nexus of statistics and computational science. Statistical machine learning has given rise to techniques that are currently used to analyze, quantify and predict phenomena in a wide range of fields. Algorithms and ideas developed in this area have been employed in a vast number of applications including face and speech recognition, web and image search, customer preference prediction and genomic exploration. This symposium honors Prof. Vladimir Vapnik, for his fundamental contributions to our understanding of statistical machine learning, and to the development of important machine learning methods.
Speakers
Michael Kearns
University of Pennsylvania
Robert Schapire
Princeton University
Michael Jordan
University of California, Berkeley
Vladimir Vapnik
Columbia University & NEC Laboratories
This meeting is free and open to the public, but RSVP's are appreciated.
Presented by
Travel & Lodging
Meeting Location
University of Pennsylvania
Berger Auditorium, Skirkanich Hall
210 South 33rd Street
Philadelphia, PA 19104