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Support vector machines versus decision templates in biomedical decision fusion

Zervakis Michalis, Dī́mou, Giánnīs, 1944-

Απλή Εγγραφή

URIhttp://purl.tuc.gr/dl/dias/300963B4-C1AD-4CB3-A952-EB6F291ED134-
Αναγνωριστικόhttps://doi.org/10.1109/ICMLA.2008.90-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςSupport vector machines versus decision templates in biomedical decision fusionen
ΔημιουργόςZervakis Michalisen
ΔημιουργόςΖερβακης Μιχαληςel
ΔημιουργόςDī́mou, Giánnīs, 1944-en
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηInformation fusion is drawing increasing interest in many application contexts, especially in biomedical decision making. In this work, we provide a framework for addressing the statistical performance of the decision fusion layer. The decision templates (DTs) fusion method is examined as a distance based combiner and statistically compared with an SVM discriminant hyper-classifier. Our aim is broader than providing experimental results on the performance of the two fusion schemes. We attempt to highlight the theoretical advantages of support vectors as multiple attractor points in a hyper-classifier¿s feature space. Moreover we show that the use of SVMs in this task is an extensible framework that can be adapted to the problem formulation.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-24-
Ημερομηνία Δημοσίευσης2008-
Θεματική ΚατηγορίαBiomedicalen
Βιβλιογραφική ΑναφοράI.N. Dimou, M.E. Zervakis ,"Support vector machines versus decision templates in biomedical decision fusion ,"in 2008 Seventh Intern. Conf. on Machine Lear. and Applications, ICMLA ,pp. 625 - 630.doi:10.1109/ICMLA.2008.90en

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