Venerdi 3 luglio 2015, alle ore 11:00, presso l'Aula del Consiglio del DICEAM (ex Facoltà di Ingegneria), la prof.ssa Sushmita Mitra, della Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India, terrà un seminario dal titolo:
L'iniziativa si svolge all’interno del programma “Distinghished Lecturer Program” dell’IEEE CIS, cioè della sezione Italiana della Computational Intelligence Society (CIS) dell’Institute of Electrical & Electronics Engineers (IEEE).
Abstract
Rough set theory is an established tool for dealing with
imprecision, noise, and uncertainty in data. It provides an
important and mathematically established tool for
dimensionality reduction in large data. A lot of research
has been undertaken, over the last decade, for integrating
rough sets into the broader framework of computational
intelligence. In this talk we provide an overview of such
hybridization, along with some applications. We begin
with a brief introduction to rough sets, followed by some
of their hybridization with fuzzy sets and genetic
algorithms, in tasks involving dimensionality reduction and
clustering. Experimental results demonstrate their
effectiveness in diverse domains like microarray gene
expressions, face recognition, and CT scan images.