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Multi-Task Preference Learning with an Application to Hearing-Aid Personalization

Domenii publicaţii > Ştiinţe informatice + Tipuri publicaţii > Articol în revistã ştiinţificã

Autori: Adriana Birlutiu, Perry Groot and Tom Heskes

Editorial: Elsevier, Neurocomputing, 73, p.1177-1185, 2010.

Rezumat:

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.

Cuvinte cheie: preference learning, multi-task learning, hierarchical modeling, Gaussian processes

URL: http://www.sciencedirect.com/science/article/pii/S0925231210000251