Corinna Cortes
From Wikipedia, the free encyclopedia
Born31 March 1961
AlmamaterUniversity of Copenhagen (MS)
University of Rochester (PhD)
University of Rochester (PhD)
AwardsParis Kanellakis Award (2008)
ACM Fellow (2023)
ACM Fellow (2023)
Corinna Cortes | |
|---|---|
| Born | 31 March 1961 |
| Alma mater | University of Copenhagen (MS) University of Rochester (PhD) |
| Known for | Support vector machines MNIST database |
| Awards | Paris Kanellakis Award (2008) ACM Fellow (2023) |
| Scientific career | |
| Fields | Machine learning Data mining[1] |
| Institutions | Google UCPH Department of Computer Science AT&T Bell Labs Bell Labs |
| Thesis | Prediction of generalization ability in learning machines (1994) |
| Doctoral advisor | Randal C. Nelson[2] |
| Website | research |
Corinna Cortes (born 31 March 1961) is a Danish computer scientist known for her contributions to machine learning. She is a Vice President at Google Research in New York City.[3] Cortes is an ACM Fellow and a recipient of the Paris Kanellakis Award for her work on theoretical foundations of support vector machines.[4][5][3][6]
Corinna Cortes was born in 1961 in Denmark.[citation needed] Cortes received her Master of Science degree in physics from University of Copenhagen in 1989.[3] She received her PhD in computer science from the University of Rochester in 1993 for research supervised by Randal C. Nelson.[2]
