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Lazarevic et al., 2001 - Google Patents

Boosting localized classifiers in heterogeneous databases

Lazarevic et al., 2001

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Document ID
17648729651342710320
Author
Lazarevic A
Obradovic Z
Publication year
Publication venue
Proceedings of the 2001 SIAM International Conference on Data Mining

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Snippet

Combining multiple global models (eg back-propagation based neural networks) is an effective technique for improving classification accuracy. This technique reduces variance by manipulating the distribution of the training data. In many large scale data analysis problems …
Continue reading at epubs.siam.org (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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