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» Approximation Algorithms for k-hurdle Problems
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NIPS
2001
15 years 1 months ago
A General Greedy Approximation Algorithm with Applications
Greedy approximation algorithms have been frequently used to obtain sparse solutions to learning problems. In this paper, we present a general greedy algorithm for solving a class...
T. Zhang
DISOPT
2006
155views more  DISOPT 2006»
14 years 12 months ago
Cyclical scheduling and multi-shift scheduling: Complexity and approximation algorithms
We consider the multiple shift scheduling problem modelled as a covering problem. Such problems are characterized by a constraint matrix that has in every column blocks of consecu...
Dorit S. Hochbaum, Asaf Levin
MLDM
2010
Springer
14 years 6 months ago
Fast Algorithms for Constant Approximation k-Means Clustering
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran
ESA
2006
Springer
103views Algorithms» more  ESA 2006»
15 years 3 months ago
Greedy in Approximation Algorithms
The objective of this paper is to characterize classes of problems for which a greedy algorithm finds solutions provably close to optimum. To that end, we introduce the notion of k...
Julián Mestre
IJKESDP
2010
149views more  IJKESDP 2010»
14 years 10 months ago
An approximate solution method based on tabu search for k-minimum spanning tree problems
—This paper considers k-minimum spanning tree problems. An existing solution algorithm based on tabu search, which was proposed by Katagiri et al., includes an iterative solving ...
Hideki Katagiri, Tomohiro Hayashida, Ichiro Nishiz...