Improving Performance of a Binary Classifier by Training Set Selection-Reference-Cited by-同舟云学术

Improving Performance of a Binary Classifier by Training Set Selection

Published: Issue: Volume: Page:128-135
ISSN:0302-9743
Container-title:Artificial Neural Networks - ICANN 2008
language:
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Author:

Dendek Cezary,Mańdziuk Jacek

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-87536-9_14.pdf

Reference9 articles.

1. Sane, S.S., Ghatol, A.A.: Use of instance typicality for efficient detection of outliers with neural network classifiers. In: Mohanty, S.P., Sahoo, A. (eds.) ICIT, pp. 225–228. IEEE Computer Society, Los Alamitos (2006)

2. Lecture Notes in Computer Science;C. Dendek,2006

3. Mańdziuk, J., Shastri, L.: Incremental class learning approach and its application to handwritten digit recognition. Inf. Sci. Inf. Comput. Sci. 141(3-4), 193–217 (2002)

4. Asuncion, A., Newman, D.J.: UCI machine learning repository (2007)

5. Pardes, R., Vidal, E.: Learning weighted metrics to minimize nearest-neighbor classification error. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(7), 1100–1110 (2006)

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