The helpfulness of category labels in semi-supervised learning depends on category structure.

Autor: Vong WK; School of Psychology, University of Adelaide, Adelaide, Australia. waikeen.vong@adelaide.edu.au., Navarro DJ; School of Psychology, University of Adelaide, Adelaide, Australia., Perfors A; School of Psychology, University of Adelaide, Adelaide, Australia.
Jazyk: angličtina
Zdroj: Psychonomic bulletin & review [Psychon Bull Rev] 2016 Feb; Vol. 23 (1), pp. 230-8.
DOI: 10.3758/s13423-015-0857-9
Abstrakt: The study of semi-supervised category learning has generally focused on how additional unlabeled information with given labeled information might benefit category learning. The literature is also somewhat contradictory, sometimes appearing to show a benefit to unlabeled information and sometimes not. In this paper, we frame the problem differently, focusing on when labels might be helpful to a learner who has access to lots of unlabeled information. Using an unconstrained free-sorting categorization experiment, we show that labels are useful to participants only when the category structure is ambiguous and that people's responses are driven by the specific set of labels they see. We present an extension of Anderson's Rational Model of Categorization that captures this effect.
Databáze: MEDLINE