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

A. Birlutiu, P.C. Groot, T. Heskes

Research output: Contribution to journalArticleAcademicpeer-review

26 Citations (Scopus)


We present an EM-algorithm for the problem of learning preferences with semiparametric models derived from 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 hearing-impaired subjects, in the context of pairwise comparison experiments, can be improved using a hierarchical model.
Original languageEnglish
Pages (from-to)1177-1185
Number of pages9
Issue number7-9
Publication statusPublished - 2010


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