Learning from imperfect data in theory and practice
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/11004 |
| _version_ | 1826205618341412864 |
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| author | Slonim, Donna K |
| author2 | Ronald L. Rivest. |
| author_facet | Ronald L. Rivest. Slonim, Donna K |
| author_sort | Slonim, Donna K |
| collection | MIT |
| description | Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996. |
| first_indexed | 2024-09-23T13:15:57Z |
| format | Thesis |
| id | mit-1721.1/11004 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:15:57Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/110042019-04-12T09:14:12Z Learning from imperfect data in theory and practice Slonim, Donna K Ronald L. Rivest. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996. Includes bibliographical references (p. 167-176). by Donna Karen Slonim. Ph.D. 2005-08-18T15:54:00Z 2005-08-18T15:54:00Z 1996 1996 Thesis http://hdl.handle.net/1721.1/11004 35956924 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 176 p. 15639925 bytes 15639680 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science Slonim, Donna K Learning from imperfect data in theory and practice |
| title | Learning from imperfect data in theory and practice |
| title_full | Learning from imperfect data in theory and practice |
| title_fullStr | Learning from imperfect data in theory and practice |
| title_full_unstemmed | Learning from imperfect data in theory and practice |
| title_short | Learning from imperfect data in theory and practice |
| title_sort | learning from imperfect data in theory and practice |
| topic | Electrical Engineering and Computer Science |
| url | http://hdl.handle.net/1721.1/11004 |
| work_keys_str_mv | AT slonimdonnak learningfromimperfectdataintheoryandpractice |