Machine learning

Sep/12 09:00 - Sep/13 18:00
Kortrijk, Belgium

BENELEARN 2016: Belgian-Dutch conference on machine learning

Benelearn is the annual machine learning conference of Belgium and The Netherlands. It serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications. The 25th edition will be co-organised by KU Leuven, UGent and the Flemish Supercomputer Centre at the Katholieke Universiteit Leuven, Campus Kortrijk (KULAK).

Applications of Fuzzy Rough Set Theory in Machine Learning: a Survey

Data used in machine learning applications is prone to contain both vague and incomplete information. Many authors have proposed to use fuzzy rough set theory in the development of new techniques tackling these characteristics. Fuzzy sets deal with vague data, while rough sets allow to model incomplete information. As such, the hybrid setting of the two paradigms is an ideal candidate tool to confront the separate challenges. In this paper, we present a thorough review on the use of fuzzy rough sets in machine learning applications.


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