Kernel Carpentry for Online Regression using Randomly Varying Coefficient Model

Proceedings of the International Joint Conference on Artificial Intelligence 2007

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Date
2006
Author
Edakunni, Narayanan U.
Schaal, Stefan
Vijayakumar, Sethu
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Abstract
We present a Bayesian formulation of locally weighted learning (LWL) using the novel concept of a randomly varying coefficient model. Based on this
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