September 2014
Intermediate to advanced
384 pages
11h 1m
English
Content preview from Combining Pattern Classifiers: Methods and Algorithms, 2nd Edition
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REFERENCES
- T. Abeel, T. Helleputte, Y. Van de Peer, P. Dupont, and Y. Saeys. Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinformatics (Oxford, England), 26(3):392–398, 2010.
- M. Abouelenien and X. Yuan. SampleBoost: improving boosting performance by destabilizing weak learners based on weighted error analysis. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR), pp. 585–588. IEEE, 2012.
- D. W. Aha and R. L Bankert. A comparative evaluation of sequential feature selection algorithms. In: Proceedings of the 5th International Workshop on AI and Statistics, Ft Lauderdale, FL, 1995, pp. 1–7.
- D. W. Aha and R. L. Blankert. Cloud classification using error-correcting output codes. Artificial Intelligence Applications: Natural Resources, Agriculture and Environmental Science, 11(1):13–28, 1997.
- W. I. Ai and P. Langley. Induction of one-level decision trees. In: Proceedings of the Ninth International Conference on Machine Learning, pp. 233–240. Morgan Kaufmann, 1992.
- M. Aksela. Comparison of classifier selection methods for improving committee performance. In: T. Windeatt and F. Roli, editors, Proc. 4rd Int. Workshop on Multiple Classifier Systems (MCS 2003), Guildford, UK. Volume 2709: Lecture Notes in Computer Science, pp. 84–93. Springer, 2003.
- I. Aleksander and H. Morton. Introduction to Neural Computing, 2nd edition. International Thomson Computer Press, London, 1995.
- L. A. Alexandre, A. C. Campilho, ...
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