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An autoassociative model of recovery in memory
| dc.creator | Cohen, Andrew L | |
| dc.date.accessioned | 2012-06-07T22:44:11Z | |
| dc.date.available | 2012-06-07T22:44:11Z | |
| dc.date.created | 1996 | |
| dc.date.issued | 1996 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1996-THESIS-C64 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references. | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | A model of memory is presented. The model is a neural system which utilizes an autoassociator trained via the Buhmann learning rule. Context plays a central role in the storage and recovery of stored items. Context is stored as part of each item and is allowed to systematically change over time. The model supports a new theory of recovery and has possible applications in both information retrieval and natural language processing systems. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | computer science. | en |
| dc.subject | Major computer science. | en |
| dc.title | An autoassociative model of recovery in memory | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | computer science | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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