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94
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Wrappers For Performance Enhancement And Oblivious Decision Graphs
– Ron Kohavi, Yoav Shoham, Jerry Friedman
- 1995
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An Experimental Analysis of . . . in Autonomous Outdoor Robot Navigation
– Michael J. Procopio
- 2007
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449
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An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
– Eric Bauer, Ron Kohavi
- 1999
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MLC++ Utilities 2.0
– Ronny Kohavi, Dan Sommerfield
- 1996
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22
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Prototype Selection for Composite Nearest Neighbor Classifiers
– David B. Skalak
- 1997
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Adaptive Agents for Information Retrieval and Data-Driven Knowledge Discovery
– Jihoon Yang
- 1999
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42
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An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning
– Philip Kin-Wah Chan
- 1996
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5
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Decision Tree Discovery
– Ron Kohavi, Ross Quinlan
- 1999
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9
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Time Series Learning with Probabilistic Network Composites
– William Henry Hsu
- 1998
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3
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Unpacking Multi-Valued Symbolic Features and Classes in Memory-Based Language Learning
– Antal van den Bosch, Jakub Zavrel
- 2000
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26
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Online ensemble learning
– Nikunj Chandrakant Oza
- 2001
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7
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Constructing New Attributes for Decision Tree Learning
– Zijian Zheng
- 1996
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35
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Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
– Jeremy Z. Kolter, Marcus A. Maloof
- 2003
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5
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Performance and efficiency: Recent advances in supervised learning
– Sheng Ma, Chuanyi Ji
- 1999
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19
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An Integrated Instance-Based Learning Algorithm
– D. Randall Wilson, Tony R. Martinez
- 2000
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Mlc++
– Ron Kohavi, Dan Sommerfield
- 1998
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3
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Classifying Unseen Cases with Many Missing Values
– Zijian Zheng, Boon Toh Low
- 1999
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1
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Integrating Boosting and Stochastic Attribute Selection Committees for Further Improving the Performance of Decision Tree Learning
– Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
- 1998
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9
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Robust Combining of Disparate Classifiers through Order Statistics
– Kagan Tumer, Joydeep Ghosh
- 2001
|
