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PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 5 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
STOC
2006
ACM
152views Algorithms» more  STOC 2006»
16 years 4 months ago
Private approximation of search problems
Many approximation algorithms have been presented in the last decades for hard search problems. The focus of this paper is on cryptographic applications, where it is desired to de...
Amos Beimel, Paz Carmi, Kobbi Nissim, Enav Weinreb
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
15 years 10 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
SIAMJO
2010
92views more  SIAMJO 2010»
14 years 11 months ago
Inexact Proximal Point Methods for Variational Inequality Problems
We present a new family of proximal point methods for solving monotone variational inequalities. Our algorithm has a relative error tolerance criterion in solving the proximal subp...
Regina Sandra Burachik, Joydeep Dutta
GECCO
2003
Springer
15 years 9 months ago
Exploring a Two-Population Genetic Algorithm
In a two-market genetic algorithm applied to a constrained optimization problem, two ‘markets’ are maintained. One market establishes fitness in terms of the objective functio...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood,...