18. COLT 2005:
Bertinoro, Italy Peter Auer , Ron Meir (Eds.):
Learning Theory, 18th Annual Conference on Learning Theory, COLT 2005, Bertinoro, Italy, June 27-30, 2005, Proceedings.
Lecture Notes in Computer Science 3559 Springer 2005, ISBN 3-540-26556-2 Learning to Rank
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Boosting
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Boaz Leskes :
The Value of Agreement, a New Boosting Algorithm.
95-110
Unlabeled Data, Multiclass Classification
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Online Learning I
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Tong Zhang :
Data Dependent Concentration Bounds for Sequential Prediction Algorithms.
173-187
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conf/colt/Cesa-BianchiMS05
Online Learning II
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conf/colt/Shalev-ShwartzS05
Support Vector Machines
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conf/colt/KoltchinskiiB05 export record as
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Kernels and Embeddings
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Inductive Inference
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Unsupervised Learning
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Generalization Bounds
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Tong Zhang :
Localized Upper and Lower Bounds for Some Estimation Problems.
516-530
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András Antos :
Improved Minimax Bounds on the Test and Training Distortion of Empirically Designed Vector Quantizers.
531-544
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Query Learning, Attribute Efficiency, Compression Schemes
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Vitaly Feldman :
On Attribute Efficient and Non-adaptive Learning of Parities and DNF Expressions.
576-590
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Economics and Game Theory
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Separation Results for Learning Models
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Frank J. Balbach :
Teaching Classes with High Teaching Dimension Using Few Examples.
668-683
Open Problems
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Wei Luo :
Compute Inclusion Depth of a Pattern.
689-690
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