LAMP Seminar
Language and Media Processing Laboratory
Conference Room 2460
A.V. Williams Building
University of Maryland

Marc Vuilleumier St¨¹ckelberg
CUI - University of Geneva, Switzerland
LAMP - University of Maryland, United States
November 1998


Classification algorithms based on supervised learning are commonly used by many searchers in computer science and electrical engineering. However, everyone seems to have a few recipes, and use them on all problems without paying much attention to other possible methods. In this talk, I will try to point out what makes the difference between any two supervised classifiers, and will briefly review the most commonly used algorithms. I will consider statistical pattern recognition algorithms as well as traditional machine learning techniques. I hope that this presentation will raise some curiosity and eventually lead one to extend his personal cookbook.

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