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ICALP
2001
Springer
14 years 4 days ago
Approximation Algorithms for Partial Covering Problems
We study the generalization of covering problems to partial covering. Here we wish to cover only a desired number of elements, rather than covering all elements as in standard cov...
Rajiv Gandhi, Samir Khuller, Aravind Srinivasan
SDL
2007
152views Hardware» more  SDL 2007»
13 years 9 months ago
TTCN-3 Quality Engineering: Using Learning Techniques to Evaluate Metric Sets
Software metrics are an essential means to assess software quality. For the assessment of software quality, typically sets of complementing metrics are used since individual metric...
Edith Werner, Jens Grabowski, Helmut Neukirchen, N...
WAOA
2005
Springer
84views Algorithms» more  WAOA 2005»
14 years 1 months ago
A Note on Semi-online Machine Covering
In the machine cover problem we are given m machines and n jobs to be assigned (scheduled) so that the smallest load of a machine is as large as possible. A semi-online algorithm i...
Tomás Ebenlendr, John Noga, Jiri Sgall, Ger...
COLT
1999
Springer
13 years 12 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
ESA
2010
Springer
140views Algorithms» more  ESA 2010»
13 years 7 months ago
A Robust PTAS for Machine Covering and Packing
Abstract. Minimizing the makespan or maximizing the minimum machine load are two of the most important and fundamental parallel machine scheduling problems. In an online scenario, ...
Martin Skutella, José Verschae