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» Recursion Theoretic Operators for Function Complexity Classe...
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JMLR
2002
135views more  JMLR 2002»
14 years 9 months ago
Covering Number Bounds of Certain Regularized Linear Function Classes
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
Tong Zhang
FOCS
2005
IEEE
15 years 3 months ago
On the Complexity of Real Functions
We establish a new connection between the two most common traditions in the theory of real computation, the Blum-Shub-Smale model and the Computable Analysis approach. We then use...
Mark Braverman
STACS
1995
Springer
15 years 1 months ago
Generalized Scans and Tri-Diagonal Systems
Motivatedby the analysis of known parallel techniques for the solution of linear tridiagonal system, we introduce generalized scans, a class of recursively de ned lengthpreserving...
Paul F. Fischer, Franco P. Preparata, John E. Sava...
COLT
2001
Springer
15 years 2 months ago
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
Peter L. Bartlett, Shahar Mendelson
NIPS
1996
14 years 11 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder