Analyzes the use of Support Vector Machines in tasks involving expert knowledge and recommendation, normally performed by experts with specific sensory and cognitive capacities (i.e. colour or perfume designers, sommeliers, etc.).
In addition to the theoretical interest regarding core functions in non-quantitative spaces and the new support-vector-machine-based architectures under development, the project will have a clear impact on managerial applications. On the one hand, in industrial processes in which decision making is provided by experts with specific sensory capacities On the other hand, product recommendation.
Project funded by the MEC (Ministry of Education and Science, TIN2010-20966-C02-01)