Sciweavers

1279 search results - page 51 / 256
» Approximation Algorithms for Min-Max Generalization Problems
Sort
View
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
14 years 10 days ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...
TNN
2010
216views Management» more  TNN 2010»
13 years 3 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
CP
2006
Springer
14 years 14 days ago
Inner and Outer Approximations of Existentially Quantified Equality Constraints
We propose a branch and prune algorithm that is able to compute inner and outer approximations of the solution set of an existentially quantified constraint where existential param...
Alexandre Goldsztejn, Luc Jaulin
PODS
2010
ACM
215views Database» more  PODS 2010»
14 years 1 months ago
An optimal algorithm for the distinct elements problem
We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
Daniel M. Kane, Jelani Nelson, David P. Woodruff
STOC
2003
ACM
164views Algorithms» more  STOC 2003»
14 years 9 months ago
Approximate counting by dynamic programming
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
Martin E. Dyer