CS Colloquium Series @ UCY
The Department of Computer Science at the University of Cyprus holds research colloquiums and social hours approximately once weekly. All university students, faculty, and staff are invited to attend. Notifications about new and upcoming events are automatically disseminated to a variety of institutional lists.
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Colloquium Coordinator: Demetris Zeinalipour
Colloquium: Prototype-based classifiers and their application in the life sciences, Dr. Michael Biehl (University of Groningen, Netherlands), Tuesday, September 27, 2016, 14:00-15:00 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:
Prototype-based classifiers and their application in the life sciences
Speaker: Dr. Michael Biehl
This talk reviews important aspects of prototype based systems in the context of supervised learning. Learning Vector Quantization (LVQ) serves as a particularly intuitive framework, in which to discuss the basic ideas of distance based classification. A key issue is that of choosing an appropriate distance or similarity measure for the task at hand. The powerful framework of relevance learning will be discussed, in which parameterized distance measures are adapted together with the prototypes in the same training process. Recent developments and theoretical insights are discussed and example applications in the life-sciences and bio-medical domain are presented in order to illustrate the concepts.
Michael Biehl received a PhD degree in Theoretical Physics from the University of Giessen, Germany, in 1992 and the habilitation (venia legendi) in Theoretical Physics from the University of Würzburg, Germany, in 1996. He joined the University of Groningen as Assistant Professor in Computer Science in 2003 and got tenure in 2009. His earlier research concerned, among other topics, the statistical physics of neural networks and the theory and simulation of non-equilibrium growth processes and crystal surfaces. More recently, his interests are focussed on the development and study of advanced machine learning methods and their application mainly in the bio-medical domain. Homepage: http://www.cs.rug.nl/~biehl
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