Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model

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Title:	Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model
Authors:	Edakunni, Narayanan U. Schaal, Stefan Vijayakumar, Sethu
Issue Date:	2006
Journal Title:	Proceedings of the International Joint Conference on Artificial Intelligence 2007
Abstract:	We present a Bayesian formulation of locally weighted learning (LWL) using the novel concept of a randomly varying coefficient model. Based on this
Keywords:	Localised regression
URI:	http://hdl.handle.net/1842/3699
Appears in Collections:	Informatics Publications