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

  title={Multi-task preference learning with an application to hearing aid personalization},
  author={Adriana Birlutiu and Perry Groot and Tom Heskes},
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. 
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Choosing between multinomial logit and multinomial probit models for analysis of unordered choice data. Paper 22 presented at the annual meeting of the MPSA

  • J. Kropko, G. Rabinowitz
  • Annual National Conference,
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