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Reciprocal preference relations transitivity properties and graph structures as knowledge instruments for complex learning algorithms. (3E022109)

In research areas like decision making, preference modelling, fuzzy modelling, statistics and machine learning, scientists have proposed various ways to model human preference information. This research project can be situated on the edge between those domains with strong emphasis on the machine learning aspects.

Date:1 Oct 2009  →  28 Feb 2013
Disciplines:Visual computing, Programming languages, Theoretical computer science, Distributed computing, Artificial intelligence, Statistics and numerical methods, Information sciences, Scientific computing, Other information and computing sciences, Computer architecture and networks, Applied mathematics in specific fields, Cognitive science and intelligent systems, Information systems, History and foundations