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{
    "pk": 32849,
    "title": "Context-Sensitive, Distributed, Variable-Representation Category Formation",
    "subtitle": null,
    "abstract": "This paper describes INC2, an incremental category formation system which implements the concepts of family resemblance, contrast-model-based similarity, and context-sensitive, distributed probabilistic representation. The system is evaluated in terms of both the structure of categories/hierarchies it generates and its categorization (prediction) accuracy in both noise-free and noisy domains. Performance is shown to be comparable to both humans and existing leaming-from-example systems, even though the system is not provided with any category membership information during the category formation stage.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Paper Presentations -- Category Formation and Similarity",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7vd887f5",
    "frozenauthors": [
        {
            "first_name": "Mirsad",
            "middle_name": "",
            "last_name": "Hadzikadic",
            "name_suffix": "",
            "institution": "University of North Carolina",
            "department": ""
        },
        {
            "first_name": "Paul",
            "middle_name": "",
            "last_name": "Elia",
            "name_suffix": "",
            "institution": "University of North Carolina",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1991-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/32849/galley/23909/download/"
        }
    ]
}