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» On Computing Functions with Uncertainty
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EUROCRYPT
2010
Springer
15 years 11 months ago
Universal One-Way Hash Functions via Inaccessible Entropy
This paper revisits the construction of Universal One-Way Hash Functions (UOWHFs) from any one-way function due to Rompel (STOC 1990). We give a simpler construction of UOWHFs, whi...
Iftach Haitner, Thomas Holenstein, Omer Reingold, ...
186
Voted
IWANN
1999
Springer
15 years 11 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
HVEI
2010
15 years 8 months ago
Isolating human brain functional connectivity associated with a specific cognitive process
The use of functional magnetic resonance imaging (fMRI) to measure functional connectivity among brain areas has the potential to identify neural networks associated with particul...
Michael A. Silver, Ayelet N. Landau, Thomas Z. Lau...
172
Voted
ICISC
2008
103views Cryptology» more  ICISC 2008»
15 years 8 months ago
Generalized Universal Circuits for Secure Evaluation of Private Functions with Application to Data Classification
Secure Evaluation of Private Functions (PF-SFE) allows two parties to compute a private function which is known by one party only on private data of both. It is known that PF-SFE c...
Ahmad-Reza Sadeghi, Thomas Schneider 0003
CCR
2008
101views more  CCR 2008»
15 years 7 months ago
Empirical evaluation of hash functions for multipoint measurements
A broad spectrum of network measurement applications demand passive multipoint measurements in which data from multiple observation points has to be correlated. Examples are the p...
Christian Henke, Carsten Schmoll, Tanja Zseby