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Franklin Institute Symposium

STATISTICAL MACHINE LEARNING:

THEORY AND APPLICATIONS

Featuring Vladimir Vapnik

Recipient of the 2012 Benjamin Franklin Medal

in Computer and Cognitive Science

 

        

 

Sponsors

The Franklin Institute Awards Program

Penn Research in Machine Learning

The GRASP Laboratory

The New York Academy of Science

The Philadelphia Science Festival

Event Poster (pdf)


 

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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