- OMEGA: ON-LINE MEMORY-BASED GENERAL PURPOSE SYSTEM CLASSIFIER
Kan Deng
doctoral dissertation, tech. report CMU-RI-TR-98-33, Robotics Institute, Carnegie Mellon University, November, 1998
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- On the Greediness of Feature Selection Algorithms
Kan Deng and Andrew Moore
International Conference of Machine Learning (ICML '98), June, 1998.
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pdf (67KB) | Copyrighted
- On Greediness of Feature Selection Algorithms
Kan Deng and Andrew Moore
tech. report CMU-RI-TR-98-03, Robotics Institute, Carnegie Mellon University, February, 1998
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- On-line Memory-based Detection of General Purpose Systems
Kan Deng, Andrew Moore, and Michael Nechyba
Neural Information Systems Processing 1998 (NIPS '98), 1998.
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- Efficient Locally Weighted Polynomial Regression Predictions
Andrew Moore, Jeff Schneider, and Kan Deng
International Conference on Machine Learning, 1997.
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- Learning to Recognize Time Series: Combining ARMA models with Memory-based Learning
Kan Deng, Andrew Moore, and Michael Nechyba
IEEE Int. Symp. on Computational Intelligence in Robotics and Automation, 1997, pp. 246 - 250.
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- Multiresolution Instance-Based Learning
Andrew Moore, Jeff Schneider, and Kan Deng
Proceedings of International Joint Conference on Artificial Intelligence, 1995.
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