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JCP
2007

Learning by Discrimination: A Constructive Incremental Approach

8 years 10 months ago
Learning by Discrimination: A Constructive Incremental Approach
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of adapting the nodes’ functions and the network’s overall topology as each new training pattern is presented. Provided the training data is consistent, computational complexity is low and prior factual knowledge may be used to “prime” the network and improve its predictive accuracy and/or efficiency. Empirical generalization results on both toy problems and more realistic tasks demonstrate promise.
Christophe G. Giraud-Carrier, Tony R. Martinez
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JCP
Authors Christophe G. Giraud-Carrier, Tony R. Martinez
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