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Conference item #79124

Shawe-Taylor, J; Cancedda, N; Cesa-Bianchi, N; Conconi, A; Gentile, C; Goutte, C; Graepel, T; (2002) UNSPECIFIED Presented at: Kernel Methods for Document Filtering.

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This paper describes the algorithms inplemented by the KerMIT consortium for its participation in the Trec 2002 Filtering track. The consortium submitted runs for the routing task using a linear SVM, for the batch task using the same SVM in combination with an innovation threshold-selection mechanism, and for the adaptive task using both a second-order perceptron and a combination of SVM and perceptron with uneven margin. Results seem to indicate that these algorithm performed relatively well on the extensive TREC benchmark

Type: Conference item (UNSPECIFIED)
Event: Kernel Methods for Document Filtering
Keywords: computation learning theory, information filtering, KerMIT, Kernel Methods, margin-based algorithms, routing tasks, support vector, SVM
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/79124
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