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Title:Learning Discontinuities with Product-of-Sigmoids for Switching between Local Models
Authors: Marc Toussaint ; Sethu Vijayakumar
Date: 2005
Publication Title:Proc. 22nd. International Conference on Machine Learning (ICML '05), Bonn, Germany, Aug 7-11 (2004).
Publisher:ACM Press New York, NY, USA
Publication Type:Conference Paper Publication Status:Published
Volume No:119 Page Nos:904-911
DOI:http://doi.acm.org/10.1145/1102351.1102465 ISBN/ISSN:1-59593-18
Abstract:
Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions, we propose a model that learns how to switch discontinuously between local models. The local responsibilities, usually represented by Gaussian kernels, are learned by a product of local sigmoidal classifiers that can represent complex shaped and sharply bounded regions. Local models are incrementally added. A locality prior constrains them to learn only local datawhich is the key ingredient for incremental learning with local models.
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Bibtex format
@InProceedings{EDI-INF-RR-0376,
author = { Marc Toussaint and Sethu Vijayakumar },
title = {Learning Discontinuities with Product-of-Sigmoids for Switching between Local Models},
book title = {Proc. 22nd. International Conference on Machine Learning (ICML '05), Bonn, Germany, Aug 7-11 (2004).},
publisher = {ACM Press New York, NY, USA},
year = 2005,
volume = {119},
pages = {904-911},
doi = {http://doi.acm.org/10.1145/1102351.1102465},
url = {http://homepages.inf.ed.ac.uk/svijayak/publications/toussaint-ICML2005.pdf},
}


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