CRF framework for supervised preference aggregation.

Maksims Volkovs Richard S. Zemel

Published in: CIKM (2013)

Keyphrases

theoretical framework
learning algorithm
decision making
conditional random fields
desirable properties
machine learning
bayesian networks
evolutionary algorithm
special case
probabilistic model
constraint satisfaction