Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/20624
Title: Support vector machines
Authors: Busuttil, Steven
Keywords: Support vector machines
Machine learning
Pattern recognition systems
Kernel functions
Issue Date: 2003
Publisher: University of Malta. Faculty of ICT
Citation: Busuttil, S. (2003). Support vector machines. 1st Computer Science Annual Workshop (CSAW’03), Msida. 34-39.
Abstract: In this report we present an introductory overview of Support Vector Machines (SVMs). SVMs are supervised learning machines that can be analysed theoretically using concepts from computational learning theory while being able to achieve good performance when applied to real-world problems.
URI: https://www.um.edu.mt/library/oar//handle/123456789/20624
Appears in Collections:Scholarly Works - FacICTCS

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