On Lagrangian twin support vector regression
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-012-0971-9.pdf
Reference25 articles.
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2. Balasundaram S, Kapil (2010) Application of Lagrangian twin support vector machines for classification. In: 2nd international conference on machine learning and computing, ICMLC2010, IEEE Press, pp 193–197
3. Box GEP, Jenkins GM (1976) Time series analysis: forecasting and control. Holden-Day, San Francisco
4. Brown MPS, Grundy WN, Lin D et al (2000) Knowledge-based analysis of microarray gene expression data using support vector machine. Proc Nat Acad Sci USA 97(1):262–267
5. Chen X, Yang J, Liang J, Ye Q (2011) Smooth twin support vector regression. Neural Comput Appl. doi: 10.1007/s00521-010-0454-9
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