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Proceedings of the International Joint Conference on Artificial Intelligence 2007

dc.contributor.authorEdakunni, Narayanan U.en
dc.contributor.authorSchaal, Stefanen
dc.contributor.authorVijayakumar, Sethuen
dc.date.accessioned2010-08-31T13:55:42Z
dc.date.available2010-08-31T13:55:42Z
dc.date.issued2006en
dc.identifier.other0883en
dc.identifier.urihttp://hdl.handle.net/1842/3699
dc.description.abstractWe present a Bayesian formulation of locally weighted learning (LWL) using the novel concept of a randomly varying coefficient model. Based on thisen
dc.subjectLocalised regressionen
dc.titleKernel Carpentry for Online Regression using Randomly Varying Coefficient Modelen
dc.typeConference Paperen
rps.titleProceedings of the International Joint Conference on Artificial Intelligence 2007en
dc.date.updated2010-08-31T13:55:42Z


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