PhD ceremony: Mr. A.W. Witoelar, 11.00 uur, Academiegebouw, Broerstraat 5, Groningen
Thesis: Statistical physics of learning vector quantization
Promotor(s): prof. M. Biehl, prof. N. Petkov
Faculty: Mathematics and Natural Sciences
The field of machine learning concerns the design of algorithms to learn and recognize complex patterns from data. Learning Vector Quantization (LVQ) constitutes an important family of such algorithms using prototypes which serve as typical examples. Despite its wide range of applications, the theoretical understanding of LVQ in general remains very limited. In this thesis a theoretical framework is constructed using concepts from statistical physics which allows for an exact analysis of the typical learning behaviors of the system. Studies in this thesis compare the characteristics of various LVQ algorithms to demonstrate the robustness of Neural Gas (NG) schemes and the specific advantages of LVQ 2.1 and Robust Soft LVQ algorithms. Furthermore surprising non-trivial behaviors are revealed including learning plateaus and phase transitions in the training process. The results provide insights to general prototype-based learning prescriptions.
Three researchers of the Faculty of Science and Engineering have been awarded an ENW-XS grant by the Dutch Research Council (Nederlandse Organisatie voor Wetenschappelijke Onderzoek, NWO): Prof. A.I. Guskov the Groningen Biomolecular Sciences and...
Bayu Jayawardhana has been appointed scientific director of DISC, the interuniversity research institute and graduate school that unites all university groups in the Netherlands that are active in systems and control theory and engineering. The...
Researchers Clemens Mayer and Danny Incarnato of the University of Groningen have been awarded an ERC Consolidator Grant.
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