Lunedì
5 maggio 2003 ore 11.00 presso l'Aula
dell’Istituto di Statistica Medica e
Biometria, dell’Università degli Studi di Milano
presso l'Istituto Nazionale
per lo Studio e la Cura dei Tumori
Via G. Venezian, 1 – 20133
MILANO
Prof. Bernhard Schoelkopf
Director
of
Max Planck Institute for Biological
Cybernetics
terrà una
conferenza dal titolo:
”LEARNING WITH
KERNELS: MACHINE LEARNING ON HIGH-DIMENSIONAL
DATA”
Abstract:
In
the 90s, a new type of learning algorithm was developed, based
on
results
from statistical learning theory: the Support Vector
Machine
(SVM).
This gave rise to the development of a new class of
theoretically
elegant
learning machines which use a central concept of SVMs --
kernels
--
for a number of different learning tasks. Kernel machines now
provide
a
modular and simple to use framework that can be adapted to
different
tasks
and domains by the choice of the kernel function and the
base
algorithm,
and they have been shown to perform very well in problems
ranging
from computer vision to text categorization and applications
in
computational
biology.
Conferenza proposta dall’Unità di Statistica
Medica e Biometria e dall’
Istituto di Statistica Medica e Biometria,
dell’Università degli Studi di
Milano