RT Book, Section
T1 Dissimilarity-based bipolar superbised classfication
A1 Rodríguez González, Juan Tinguaro
A1 Montero De Juan, Francisco Javier
A1 Vitoriano Villanueva, Begoña
A2 Kahraman, Cengiz
A2 Kerre, Etienne E.
A2 Bozbura, Faik Tunc
AB Frequently, the set of classes of a supervised classification problem presents an structure related to the specific features of each application context. However, standard classification models does not use to consider such an structure in their learning and reasoning processes. By means of the introduction of a bipolar approach, this paper proposes a revision of the basic notions of supervised classifiers, aimed to extend their generalization power and adaptation to problems with an structured set of classes.
PB World Scientific
SN 978-981-4417-74-7
YR 2012
FD 2012
LK https://hdl.handle.net/20.500.14352/45556
UL https://hdl.handle.net/20.500.14352/45556
NO PART 4. STATISTICS, DATA ANALYSIS AND DATA MINING
DS Docta Complutense
RD 19 abr 2025