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» Bounds for Functions of Dependent Risks
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EUROCRYPT
2007
Springer
15 years 1 months ago
Instance-Dependent Verifiable Random Functions and Their Application to Simultaneous Resettability
Abstract. We introduce a notion of instance-dependent verifiable random functions (InstD-VRFs for short). Informally, an InstD-VRF is, in some sense, a verifiable random function [...
Yi Deng, Dongdai Lin
ICSE
1999
IEEE-ACM
15 years 1 months ago
Polymorphism Measures for Early Risk Prediction
Abstract. Polymorphism is a key feature of the objectoriented paradigm. However, polymorphism induces hidden forms of class dependencies, which may impact software quality. In this...
Saïda Benlarbi, Walcélio L. Melo
87
Voted
ML
2007
ACM
127views Machine Learning» more  ML 2007»
14 years 9 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
NIPS
2001
14 years 11 months ago
Kernel Machines and Boolean Functions
We give results about the learnability and required complexity of logical formulae to solve classification problems. These results are obtained by linking propositional logic with...
Adam Kowalczyk, Alex J. Smola, Robert C. Williamso...
82
Voted
DAGSTUHL
2008
14 years 11 months ago
Error Bounds for Lanczos Approximations of Rational Functions of Matrices
Abstract. Having good estimates or even bounds for the error in computing approximations to expressions of the form f(A)v is very important in practical applications. In this paper...
Andreas Frommer, Valeria Simoncini