Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
- 13 September 2001
- book chapter
- Published by Springer Nature
- p. 224-240
- https://doi.org/10.1007/3-540-44581-1_15
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- ℓ-norm and its Application to Learning TheoryPositivity, 2001
- Improved Generalization Through Explicit Optimization of MarginsMachine Learning, 2000
- Boosting the margin: a new explanation for the effectiveness of voting methodsThe Annals of Statistics, 1998
- Structural risk minimization over data-dependent hierarchiesIEEE Transactions on Information Theory, 1998
- The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the networkIEEE Transactions on Information Theory, 1998
- An Experimental and Theoretical Comparison of Model Selection MethodsMachine Learning, 1997
- Error-Correcting Output Coding Corrects Bias and VariancePublished by Elsevier ,1995
- Probability in Banach SpacesPublished by Springer Nature ,1991
- The Volume of Convex Bodies and Banach Space GeometryPublished by Cambridge University Press (CUP) ,1989
- On the method of bounded differencesPublished by Cambridge University Press (CUP) ,1989