Multi-task preference learning with an application to hearing aid personalization

We present an EM-algorithm for the problem of learning 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 hearing-impaired subjects, in the context of pairwise comparison experiments, can be improved using a hierarchical model. Key words: preference learning, multi-task learning, hierarchical modeling, Gaussian processes

• Type: Journal
• Year: 2010
• Where: IJON
• Authors: Adriana Birlutiu, Perry Groot, Tom Heskes
• Keywords: Gaussian Processes, IJON 2010, Multi-task Learning, Sound Quality Perception