FQM355: OREL-RESOURCE OPTIMIZATION, STATISTICS, TRANSPORTATION and LOGISTICS
PI name
Mª INMACULADA ESPEJO MIRANDA
PI email
inmaculada.espejo@uca.es
Short description of research profile
Our group works by providing models, tools and procedures to solve optimization problems associated with intensive data classification, paying special attention to the development of flexible models and feature selection on supporting vector machines. In order to do that, we use techniques of Linear and Nonlinear Integer Mathematical Programming.
University
University of Cadiz
Research area
SOCIAL SCIENCES » Sociology