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WEA
2005
Springer
97views Algorithms» more  WEA 2005»
15 years 12 months ago
Multiple-Winners Randomized Tournaments with Consensus for Optimization Problems in Generic Metric Spaces
Abstract. Extensions of the randomized tournaments techniques introduced in [6, 7] to approximate solutions of 1-median and diameter computation of finite subsets of general metri...
Domenico Cantone, Alfredo Ferro, Rosalba Giugno, G...
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
15 years 1 months ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
ASAP
2004
IEEE
185views Hardware» more  ASAP 2004»
15 years 10 months ago
Families of FPGA-Based Algorithms for Approximate String Matching
Dynamic programming for approximate string matching is a large family of different algorithms, which vary significantly in purpose, complexity, and hardware utilization. Many impl...
Tom Van Court, Martin C. Herbordt
COLT
1993
Springer
15 years 10 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
PR
1998
86views more  PR 1998»
15 years 6 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...