UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Conference item #79090

Rousu, J; Saunders, C; Szedmak, S; Shawe-Taylor, J; (2004) UNSPECIFIED Presented at: On Maximum Margin Hierarchical Classification.

Full text not available from this repository.


We present work in progress towards maximum margin hierarchical classification where the objects are allowed to belong to more than one category at a time. The classification hierarchy is represented as a Markov network equipped with an exponential family defined on the edges. We present a variation of the maximum margin multilabel learning framework, suited to the hierarchical classification task and allows efficient implementation via gradient-based methods. We compare the behaviour of the proposed method to the recently introduced hierarchical regularized least squares classifier as well as two SVM variants in Reuter's news article classification

Type: Conference item (UNSPECIFIED)
Event: On Maximum Margin Hierarchical Classification
Keywords: 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/79090
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