Research Explorer

Project

Reciprocal preference relations transitivity properties and graph structures as knowledge instruments for complex learning algorithms.
Code
3E022109
Duration
01 October 2009 → 28 February 2013
Funding
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • History and foundations
    • Statistics
    • Numerical methods
    • Artificial intelligence
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Social sciences
    • Cognitive science and intelligent systems
Keywords
bioinformatics
 
Project description
 

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.