UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

On the Extensions of Kernel Alignment

Kandola, J; Shawe-Taylor, J; Cristianini, N; (2002) On the Extensions of Kernel Alignment.

Full text not available from this repository.


In this paper we address the problem of measuring the degree of agreement between a kernel and a learning task. The quantity that we use to capture this notion is alignment cite{cris2001}. We motivate its theoretical properties, and derive a series of algorithms for adapting a kernel in two important machine learning problems: regression and classification with uneven datasets. We also propose a novel inductive algorithm within the framework of kernel alignment that can be used for kernel combination and kernel selection. The algorithms presented have been tested on both artificial and real-world datasets

Type: Report
Title: On the Extensions of Kernel Alignment
Keywords: machine learning
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/79269
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