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STOC
1991
ACM
84views Algorithms» more  STOC 1991»
15 years 6 months ago
Self-Testing/Correcting for Polynomials and for Approximate Functions
The study of self-testing/correcting programs was introduced in [8] in order to allow one to use program P to compute function f without trusting that P works correctly. A self-te...
Peter Gemmell, Richard J. Lipton, Ronitt Rubinfeld...
101
Voted
BMCBI
2010
105views more  BMCBI 2010»
15 years 3 months ago
A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction
Background: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propo...
Tiejun Cheng, Zhihai Liu, Renxiao Wang
ACNS
2006
Springer
79views Cryptology» more  ACNS 2006»
15 years 9 months ago
The Rainbow Attack on Stream Ciphers Based on Maiorana-McFarland Functions
Abstract. In this paper, we present the rainbow attack on stream ciphers filtered by Maiorana-McFarland functions. This can be considered as a generalization of the time-memory-da...
Khoongming Khoo, Guang Gong, Hian-Kiat Lee
DAGSTUHL
2008
15 years 4 months ago
Interactive Multiobjective Optimization Using a Set of Additive Value Functions
Abstract. In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built...
José Rui Figueira, Salvatore Greco, Vincent...
CORR
2006
Springer
102views Education» more  CORR 2006»
15 years 3 months ago
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
Fabrice Rossi, Brieuc Conan-Guez