I saw this talk at NYU a week or two ago (where it probably set some
attendance records), and highly recommend checking it out. A good mix
of intuition and theory, plus a chance to get some insight into how a
giant of the field thinks.
Matt
On Mon, Nov 22, 2010 at 9:35 PM, Robert Schapire
Vladimir Vapnik, who is renowned for his pioneering and extremely high-impact work on machine learning, will give a talk this coming Monday, November 29, at 3pm in the small auditorium (room 105) of the Computer Science building. See the abstract below.
A NEW LEARNING PARADIGM: LEARNING WITH TEACHER Vladimir Vapnik
Abstract.
The existing machine learning paradigm considers a simple scheme: given a set of training examples find in a given collection of functions the one that in the best possible way approximates the unknown decision rule. In such a paradigm a teacher does not play any role.
In human learning, however, the role of a teacher is very important: along with examples a teacher provides students with explanations, comments, comparisons, and so on. In this talk I will introduce elements of human teaching in machine learning. I will introduce an advanced learning paradigm called learning using privileged information (LUPI), where at the training stage a teacher gives some additional information about training examples. This privileged information will not be available during test stage.
I will consider LUPI paradigm for support vector machine type of algorithms and demonstrate big superiority of the advanced learning paradigm over classical one.
The new learning paradigm is general; it can be apply to almost any learning problem.