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

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

doi:10.1016/j.neucom.2009.11.025

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

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

Control Systems

Research output: Contribution to journal › Article › Academic › peer-review

26 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1177-1185
Number of pages	9
Journal	Neurocomputing
Volume	73
Issue number	7-9
DOIs	https://doi.org/10.1016/j.neucom.2009.11.025
Publication status	Published - 2010

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10.1016/j.neucom.2009.11.025

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title = "Multi-taks preference learning with an application to hearing-aid personalization",

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.",

author = "A. Birlutiu and P.C. Groot and T. Heskes",

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AB - 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.

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DO - 10.1016/j.neucom.2009.11.025

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JO - Neurocomputing

JF - Neurocomputing

IS - 7-9

ER -

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

Abstract

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