JMLR Special Issue on Computational Learning Theory
- Introduction to the Special Issue on Computational Learning Theory
- Philip M. Long; 3(Nov):361--362, 2002.
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- Tracking a Small Set of Experts by Mixing Past Posteriors
- Olivier Bousquet, Manfred K. Warmuth; 3(Nov):363--396, 2002.
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- Using Confidence Bounds for Exploitation-Exploration Trade-offs
- Peter Auer; 3(Nov):397--422, 2002.
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- Efficient Algorithms for Universal Portfolios
- Adam Kalai, Santosh Vempala; 3(Nov):423--440, 2002.
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- Limitations of Learning Via Embeddings in Euclidean Half Spaces
- Shai Ben-David, Nadav Eiron, Hans Ulrich Simon; 3(Nov):441--461, 2002.
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- Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
- Peter L. Bartlett, Shahar Mendelson; 3(Nov):463--482, 2002.
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- On Boosting with Polynomially Bounded Distributions
- Nader H. Bshouty, Dmitry Gavinsky; 3(Nov):483--506, 2002.
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