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Learning sparse features for classification by mixture models

✍ Scribed by Weixiang Liu; Nanning Zheng


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
289 KB
Volume
25
Category
Article
ISSN
0167-8655

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In this paper, we propose a lazy learning strategy for building classification learning models. Instead of learning the models with the whole training data set before observing the new instance, a selection of patterns is made depending on the new query received and a classification model is learnt