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{
    "pk": 29768,
    "title": "Using K-means Clustering for Out-of-Sample Predictions of Memory Retention",
    "subtitle": null,
    "abstract": "In applied settings, computational models of memory haveproven useful in making principled performance predictions.Specifically, historical data are used to derive modelparameters in order to enable out-of-sample predictions.Parameters are typically fit to meaningful subsets of data.However, labels that demarcate what constitutes a“meaningful” subset are not always available. Here, we utilizea data-driven method to cluster past performance into subsetspossessing statistical similarities. We contrast predictions fromcluster-specific model parameters with predictions based onsubsets that are artifacts of the experimental design. We showthat cluster-based predictions are at least as accurate as thechosen baselines and highlight additional advantages of thedata-driven approach.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "learning; memory; k-means clustering;computational model; prediction"
        }
    ],
    "section": "Poster Session 2",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/61n9h3q5",
    "frozenauthors": [
        {
            "first_name": "Florian",
            "middle_name": "",
            "last_name": "Sense",
            "name_suffix": "",
            "institution": "University of Groningen",
            "department": ""
        },
        {
            "first_name": "Michael",
            "middle_name": "",
            "last_name": "Coll",
            "name_suffix": "",
            "institution": "ORISE at Air Force Research Laboratory",
            "department": ""
        },
        {
            "first_name": "Michael",
            "middle_name": "",
            "last_name": "Krusmark",
            "name_suffix": "",
            "institution": "Air Force Research Laborator",
            "department": ""
        },
        {
            "first_name": "Tiffany",
            "middle_name": "S.",
            "last_name": "Jastrzembski",
            "name_suffix": "",
            "institution": "Air Force Research Laborator",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29768/galley/19622/download/"
        }
    ]
}