John Platt (computer scientist)
|Born||1963 (age 51–52)|
|Institutions||Google, Microsoft Research|
|Alma mater||California Institute of Technology|
|Thesis||Constraint methods for neural networks and computer graphics (1989)|
|Doctoral advisor||Alan H. Barr
John Carlton Platt (born 1963) is an American Principal Scientist at Google. Formerly he was a Deputy Managing Director at Microsoft Research Redmond Labs. Platt worked for Microsoft from 1997-2015. Prior to Microsoft, Platt had served as Director of Research at Synaptics.
Life and work
Platt was born in Elgin, Illinois and matriculated at California State University, Long Beach at the age of 14. After graduating from CSULB at the age of 18, Platt enrolled in a computer science PhD program at California Institute of Technology.
In August 2005, Apple Computer had its application for a patent on the interface of the popular iPod music player rejected by the United States Patent and Trademark Office. The reason appears to be that Platt had submitted a patent application for a similar interface design five months prior to Apple's claim.
Platt shared a 2005 Scientific and Technical Achievement Oscar from the Academy of Motion Picture Arts and Sciences with Demetri Terzopoulos for their pioneering work in physically based computer-generated techniques used to simulate realistic cloth in motion pictures.
Platt invented Sequential minimal optimization, a widely used method for training support vector machines, as well as Platt scaling, a method to turn SVMs (and other classifiers) into probability models.
- "Microsoft Research Leadership". Retrieved July 6, 2014.
- Dalrymple, Jim (August 16, 2005). "Inside Apple's iPod patent problems". Macworld.
- http://web.archive.org/web/20060413204557/http://www.oscars.org/78academyawards/scitech/winners.html (Backup at archive.org of http://www.oscars.org/78academyawards/scitech/winners.html Retrieved 2009-01-08.
- Microsoft Research - Who benefits? (Information Week)
- Asteroids discovered by John Platt
- Machine Learning for Dummies
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