Jasmina D. Novakovic

Work place: Belgrade Business School, Belgrade, 11000, Serbia

E-mail: jasmina.novakovic@bbs.edu.rs


Research Interests: Artificial Intelligence, Decision Support System


Jasmina Đ Novakovic is a professor of computer science at Belgrade Business School, Belgrade, Serbia. She received B.S. and M.S. in computer science from University of Belgrade in 1989 and 2000 respectively and also Ph. D. in computer science from University of Megatrend in 2003. Her current research interests include artificial intelligence methods in decision making. She teaches following courses: Informatics, E-business, Computer applications and Intelligent decision support systems. Jasmina Đ Novakovic is the author of five textbooks and more than 70 scientific papers in peer reviewed Journals and Conferences.

Author Articles
Support Vector Machine as Feature Selection Method in Classifier Ensembles

By Jasmina D. Novakovic

DOI: https://doi.org/10.5815/ijmecs.2014.04.01, Pub. Date: 8 Apr. 2014

In this paper, we suggest classifier ensembles that can incorporate Support Vector Machine (SVM) as feature selection method into classifier ensembles models. Consequences of choosing different number of features are monitored. Also, the goal of this research is to present and compare different algorithmic approaches for constructing and evaluating systems that learn from experience to make the decisions and predictions and minimize the expected number or proportion of mistakes. Experimental results demonstrate the effectiveness of selecting features with SVM in various types of classifier ensembles.

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