Learning intransitive reciprocal relations with kernel methods

@article{Pahikkala2010LearningIR,
  title={Learning intransitive reciprocal relations with kernel methods},
  author={Tapio Pahikkala and Willem Waegeman and Evgeni Tsivtsivadze and Tapio Salakoski and Bernard De Baets},
  journal={European Journal of Operational Research},
  year={2010},
  volume={206},
  pages={676-685}
}
In different fields like decision making, psychology, game theory and biology, it has been observed that paired-comparison data like preference relations defined by humans and animals can be intransitive. Intransitive relations cannot be modeled with existing machine learning methods like ranking models, because these models exhibit strong transitivity… CONTINUE READING