Article Instance

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{
    "pk": 33111,
    "title": "Two Layer Digital RAAM",
    "subtitle": null,
    "abstract": "We present modifications to Recursive Auto-Associative Memory which increase its robustness and storage capacity. This is done by introducing an extra layer to the compressor and reconstructor networks, employing integer rather than realvalued representations, pre-conditioning the weights and presetting the representations to be compatible with them, and using a quick-prop modification. Initial studies have shown this method to be reliable for data sets with up to three hundred subtrees.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "17",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/85d4p3mk",
    "frozenauthors": [
        {
            "first_name": "Alan",
            "middle_name": "D.",
            "last_name": "Blair",
            "name_suffix": "",
            "institution": "Brandeis University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1995-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/33111/galley/24172/download/"
        }
    ]
}