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{ "pk": 29255, "title": "Semi-supervised Learning with 2D Categories", "subtitle": null, "abstract": "Research has shown that 1D category representations acquired through supervision change after unsupervised exposuresthat suggest a different boundary. However, it is unclear whether this effect generalizes to categories in which multipledimensions are relevant. To address this question, we trained participants on a 2D information integration structure (adiagonal boundary) under supervision. Participants then classified unsupervised items that implied either a steeper orflatter boundary than that established by supervision creating a conflict region where items should switch membership.Participants classified a grid of the stimulus space both immediately before (pretest) and after (posttest) unsupervisedlearning to assess for differences. We found that conflict-region items were more likely to be classified as members ofthe opposite class on the posttest, relative to pretest in a manner consistent with the unsupervised learning condition.Implications of these findings for semi-supervised learning research and theories of category learning are discussed.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/938845vn", "frozenauthors": [ { "first_name": "John", "middle_name": "", "last_name": "Patterson", "name_suffix": "", "institution": "Binghamton University", "department": "" }, { "first_name": "Kenneth", "middle_name": "", "last_name": "Kurtz", "name_suffix": "", "institution": "Binghamton University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2019-01-01T10:00:00-08:00", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29255/galley/19126/download/" } ] }