Informatics Report Series
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Title:Learning Discontinuities with Product-of-Sigmoids for Switching between Local Models |
Authors:
Marc Toussaint
; Sethu Vijayakumar
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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
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Volume No:119
Page Nos:904-911
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DOI:http://doi.acm.org/10.1145/1102351.1102465
ISBN/ISSN:1-59593-18
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- Abstract:
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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.
- Links To Paper
- 1st Link
- 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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