Multi-Task Preference Learning with Gaussian Processes
Adriana Birlutiu, P. Groot, Tom Heskes · 2009
Abstract. We present an EM-algorithm for the problem of learning user preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data set and show that predictive results for sound quality perception of normal hearing and hearingimpaired subjects, in the context of pairwise comparison experiments, can be improved using the hierarchical model. 1