Text Categorization via Ellipsoid Separation
Kharechko, Andriy, Shawe-Taylor, John, Herbrich, Ralf and Graepel, Thore (2004) Text Categorization via Ellipsoid Separation. At Learning Methods for Text Understanding and Mining, Grenoble, France, 26 - 29 Jan 2004.
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Description/Abstract
We present a new batch learning algorithm for text classification in the vector space of document representations. The algorithm uses ellipsoid separation in the feature space which leads to a semidefinite program. An approximation of the latent semantic feature extraction approach using Gram-Schmidt orthogonalization is used for the feature extraction. Preliminary results demonstrate some potential for the presented approach.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: 26 - 29 January 2004 |
| Related URLs: | |
| Keywords: | Text categorization, pattern separation, semidefinite programming, ellipsoid, latent semantic indexing, feature extraction, bag-of-words text representation, Gram-Schmidt orthogonalization. |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 263412 |
| Date Deposited: | 12 Feb 2007 |
| Last Modified: | 02 Mar 2012 12:59 |
| Contributors: | Kharechko, Andriy (Author) Shawe-Taylor, John (Author) Herbrich, Ralf (Author) Graepel, Thore (Author) |
| Date: | 2004 |
| Additional Information: | Event Dates: 26 - 29 January 2004 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/263412 |
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