Corinna Cortes
Encyclopedia
Corinna Cortes is an American computer scientist who is known for her contributions to the field of machine learning
. She is currently the Head of Google Research, New York
. Cortes is a recipient of the Paris Kanellakis Theory and Practice Award
for her work on theoretical foundations of support vector machine
s.
in Copenhagen
in 1989. In the same year she joined AT&T Bell Labs
as a researcher and remained there for about ten years. She received her Ph.D. in computer science from the University of Rochester
in 1993. Cortes currently serves as the Head of Google Research, New York
. She is an Editorial Board member of the journal Machine Learning
.
Cortes' research covers a wide range of topics in machine learning
, including support vector machine
s and data mining
. In 2008, she jointly with Vladimir Vapnik
received the Paris Kanellakis Theory and Practice Award
for the development of a highly effective algorithm for supervised learning
known as support vector machines (SVM). Today, SVM is one of the most frequently used algorithms in machine learning, which is used in many practical applications, including medical diagnosis
and weather forecasting
.
Machine learning
Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases...
. She is currently the Head of Google Research, New York
New York
New York is a state in the Northeastern region of the United States. It is the nation's third most populous state. New York is bordered by New Jersey and Pennsylvania to the south, and by Connecticut, Massachusetts and Vermont to the east...
. Cortes is a recipient of the Paris Kanellakis Theory and Practice Award
Paris Kanellakis Award
The Paris Kanellakis Theory and Practice Award is granted yearly by the Association for Computing Machinery to honor specific theoretical accomplishments that have had a significant and demonstrable effect on the practice of computing...
for her work on theoretical foundations of support vector machine
Support vector machine
A support vector machine is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis...
s.
Education and research
Cortes received her M.S. degree in physics from the Niels Bohr InstituteNiels Bohr Institute
The Niels Bohr Institute is a research institute of the University of Copenhagen. The research of the institute spans astronomy, geophysics, nanotechnology, particle physics, quantum mechanics and biophysics....
in Copenhagen
Copenhagen
Copenhagen is the capital and largest city of Denmark, with an urban population of 1,199,224 and a metropolitan population of 1,930,260 . With the completion of the transnational Øresund Bridge in 2000, Copenhagen has become the centre of the increasingly integrating Øresund Region...
in 1989. In the same year she joined AT&T Bell Labs
AT&T Labs
AT&T Labs, Inc. is the research & development division of AT&T, where scientists and engineers work to understand and advance innovative technologies relevant to networking, communications, and information. Over 1800 employees work in six locations: Florham Park, NJ; Middletown, NJ; Austin, TX;...
as a researcher and remained there for about ten years. She received her Ph.D. in computer science from the University of Rochester
University of Rochester
The University of Rochester is a private, nonsectarian, research university in Rochester, New York, United States. The university grants undergraduate and graduate degrees, including doctoral and professional degrees. The university has six schools and various interdisciplinary programs.The...
in 1993. Cortes currently serves as the Head of Google Research, New York
New York
New York is a state in the Northeastern region of the United States. It is the nation's third most populous state. New York is bordered by New Jersey and Pennsylvania to the south, and by Connecticut, Massachusetts and Vermont to the east...
. She is an Editorial Board member of the journal Machine Learning
Machine Learning (journal)
Machine Learning is a peer-reviewed scientific journal, published since 1986.In 2001, forty editors and members of the editorial board of Machine Learning resigned in order to found the Journal of Machine Learning Research , saying that in the era of the internet, it was detrimental for...
.
Cortes' research covers a wide range of topics in machine learning
Machine learning
Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases...
, including support vector machine
Support vector machine
A support vector machine is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis...
s and data mining
Data mining
Data mining , a relatively young and interdisciplinary field of computer science is the process of discovering new patterns from large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems...
. In 2008, she jointly with Vladimir Vapnik
Vladimir Vapnik
Vladimir Naumovich Vapnik is one of the main developers of Vapnik–Chervonenkis theory. He was born in the Soviet Union. He received his master's degree in mathematics at the Uzbek State University, Samarkand, Uzbek SSR in 1958 and Ph.D in statistics at the Institute of Control Sciences, Moscow in...
received the Paris Kanellakis Theory and Practice Award
Paris Kanellakis Award
The Paris Kanellakis Theory and Practice Award is granted yearly by the Association for Computing Machinery to honor specific theoretical accomplishments that have had a significant and demonstrable effect on the practice of computing...
for the development of a highly effective algorithm for supervised learning
Supervised learning
Supervised learning is the machine learning task of inferring a function from supervised training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object and a desired output value...
known as support vector machines (SVM). Today, SVM is one of the most frequently used algorithms in machine learning, which is used in many practical applications, including medical diagnosis
Medical diagnosis
Medical diagnosis refers both to the process of attempting to determine or identify a possible disease or disorder , and to the opinion reached by this process...
and weather forecasting
Weather forecasting
Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Human beings have attempted to predict the weather informally for millennia, and formally since the nineteenth century...
.