UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Proceedings paper #79124

Shawe-Taylor, J; Cancedda, N; Cesa-Bianchi, N; Conconi, A; Gentile, C; Goutte, C; Graepel, T; ... Renders, J; + view all (2002) UNSPECIFIED In: (Proceedings) Kernel Methods for Document Filtering. Department of Commerce, National Institute of Standards and Technology

Full text not available from this repository.


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: Proceedings paper
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
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/79124
Downloads since deposit
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item