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.
Wednesday April 25 2012
10AM - 3PM
Berger Auditorium
Skirkanich Hall
210 South 33rd Street
Philadelphia, PA 19104
Speakers:
[10AM-11AM] |
Michael Kearns: |
University of Pennsylvania
|
[11AM-12PM] |
Robert Schapire: |
Princeton University |
[1PM-2PM] |
Michael Jordan: |
University of California, Berkeley |
[2PM - 3PM] |
Vladimir Vapnik: |
Columbia University and NEC Laboratories |
This event is free and open to the public, online RSVPs appreciated for planning purposes.
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