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

  • Authors:
  • Adriana Birlutiu;Perry Groot;Tom Heskes

  • Affiliations:
  • Radboud University Nijmegen, Intelligent Systems, Heyendaalseweg 135, 6525 ED Nijmegen, The Netherlands;Radboud University Nijmegen, Intelligent Systems, Heyendaalseweg 135, 6525 ED Nijmegen, The Netherlands;Radboud University Nijmegen, Intelligent Systems, Heyendaalseweg 135, 6525 ED Nijmegen, The Netherlands

  • Venue:
  • Neurocomputing
  • Year:
  • 2010

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Abstract

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.