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» On the Complexity of Function Learning
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134
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CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 25 days ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
132
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TMI
2010
208views more  TMI 2010»
14 years 7 months ago
Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
As decisions in cardiology increasingly rely on non-invasive methods, fast and precise image processing tools have become a crucial component of the analysis workflow. To the best ...
Razvan Ioan Ionasec, Ingmar Voigt, Bogdan Georgesc...
109
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DATE
2002
IEEE
94views Hardware» more  DATE 2002»
15 years 5 months ago
FACTOR: A Hierarchical Methodology for Functional Test Generation and Testability Analysis
This paper develops an improved approach for hierarchical functional test generation for complex chips. In order to deal with the increasing complexity of functional test generati...
Vivekananda M. Vedula, Jacob A. Abraham
EUROCRYPT
2010
Springer
15 years 4 months ago
Constructing Verifiable Random Functions with Large Input Spaces
We present a family of verifiable random functions which are provably secure for exponentially-large input spaces under a non-interactive complexity assumption. Prior construction...
Susan Hohenberger, Brent Waters
93
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JAT
2010
61views more  JAT 2010»
14 years 11 months ago
Multivariate complex B-splines and Dirichlet averages
Abstract. The notion of complex B-spline is extended to a multivariate setting by means of ridge functions employing the known geometric relationship between ordinary B-splines and...
Peter Massopust, Brigitte Forster