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COMPGEOM
2006
ACM
14 years 2 months ago
How slow is the k-means method?
The k-means method is an old but popular clustering algorithm known for its observed speed and its simplicity. Until recently, however, no meaningful theoretical bounds were known...
David Arthur, Sergei Vassilvitskii
SODA
2010
ACM
214views Algorithms» more  SODA 2010»
14 years 6 months ago
A Fourier space algorithm for solving quadratic assignment problems
The quadratic assignment problem (QAP) is a central problem in combinatorial optimization. Several famous computationally hard tasks, such as graph matching, partitioning, and the...
Risi Kondor
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 2 months ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood
PODC
2009
ACM
14 years 9 months ago
Distributed and parallel algorithms for weighted vertex cover and other covering problems
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
Christos Koufogiannakis, Neal E. Young
FLAIRS
2000
13 years 10 months ago
A Deterministic Algorithm for Solving Imprecise Decision Problems
Today there are numerous tools for decision analysis, suitable both for human and artificial decision makers. Most of these tools require the decision maker to provide precise num...
Håkan L. S. Younes, Love Ekenberg