Combining multiple sources of evidence for information retrieval
This study explores the use of logistic regression for combining multiple sources of evidence and different weighting schemes for the purpose of improving the retrieval performance. The effectiveness of using logistic regression is compared with the effectiveness of manually combined methods.
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| Other Authors: | |
| Format: | Thesis |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/2543 |
| _version_ | 1826119197662380032 |
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| author | Xi, Wensi |
| author2 | Khoo, Christopher Soo Guan |
| author_facet | Khoo, Christopher Soo Guan Xi, Wensi |
| author_sort | Xi, Wensi |
| collection | NTU |
| description | This study explores the use of logistic regression for combining multiple sources of evidence and different weighting schemes for the purpose of improving the retrieval performance. The effectiveness of using logistic regression is compared with the effectiveness of manually combined methods. |
| first_indexed | 2024-10-01T04:56:12Z |
| format | Thesis |
| id | ntu-10356/2543 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:56:12Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/25432023-03-04T00:29:34Z Combining multiple sources of evidence for information retrieval Xi, Wensi Khoo, Christopher Soo Guan School of Computer Engineering Lim, Ee Peng DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This study explores the use of logistic regression for combining multiple sources of evidence and different weighting schemes for the purpose of improving the retrieval performance. The effectiveness of using logistic regression is compared with the effectiveness of manually combined methods. Master of Engineering (SCE) 2008-09-17T09:05:04Z 2008-09-17T09:05:04Z 2001 2001 Thesis http://hdl.handle.net/10356/2543 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Xi, Wensi Combining multiple sources of evidence for information retrieval |
| title | Combining multiple sources of evidence for information retrieval |
| title_full | Combining multiple sources of evidence for information retrieval |
| title_fullStr | Combining multiple sources of evidence for information retrieval |
| title_full_unstemmed | Combining multiple sources of evidence for information retrieval |
| title_short | Combining multiple sources of evidence for information retrieval |
| title_sort | combining multiple sources of evidence for information retrieval |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | http://hdl.handle.net/10356/2543 |
| work_keys_str_mv | AT xiwensi combiningmultiplesourcesofevidenceforinformationretrieval |