Learning With a Nontrivial Teacher

Name: Learning With a Nontrivial Teacher
Start: 2014-03-12T15:30:00-04:00
End: 2014-03-12T18:00:00-04:00
Location: Gerald D. Fischbach Auditorium

Wednesday March 12, 2014

About Presidential Lectures

Presidential Lectures are a series of free public colloquia spotlighting groundbreaking research across four themes: neuroscience and autism science, physics, biology, and mathematics and computer science. These curated, high-level scientific talks feature leading scientists and mathematicians and are designed to foster discussion and drive discovery within the New York City research community. We invite those interested in these topics to join us for this weekly lecture series.

In this lecture, Vladimir Vapnik will discuss how the LUPI learning model can take the form of comments, descriptions, metaphoric reasoning and other teaching tactics. He will describe the goal of the model — to develop good decision rules even when only a small number of examples is provided.

If this lecture is videotaped, it will be posted here after production.

About the Speaker

Vladimir Vapnik, Ph.D. works in the machine learning department at NEC Laboratories America, Inc. and is professor of computer science at Columbia University. He has made major contributions to computer science and machine learning, including a general theory for minimizing the expected risk of losses using empirical data, and the widely used Support Vector Machine approach to classification. Among his many honors are the 2003 Humboldt Research Award, the 2005 Gabor Award, the 2010 Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award and the 2012 Benjamin Franklin Medal in Computer and Cognitive Science from the Franklin Institute. He was elected to the National Academy of Engineering in 2006 for “insights into the fundamental complexities of learning and for inventing practical and widely applied machine-learning algorithms.”