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» Approximation Algorithms for Scheduling on Multiple Machines
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STACS
2004
Springer
14 years 1 months ago
Deterministic Truthful Approximation Mechanisms for Scheduling Related Machines
Abstract. We consider the problem of scheduling jobs on related machines owned by selfish agents and provide the first deterministic mechanisms with constant approximation that a...
Vincenzo Auletta, Roberto De Prisco, Paolo Penna, ...
SIAMDM
2002
124views more  SIAMDM 2002»
13 years 7 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella
ICML
2010
IEEE
13 years 8 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
LATIN
2010
Springer
13 years 9 months ago
Randomized Truthful Algorithms for Scheduling Selfish Tasks on Parallel Machines
We study the problem of designing truthful algorithms for scheduling a set of tasks, each one owned by a selfish agent, to a set of parallel (identical or unrelated) machines in or...
Eric Angel, Evripidis Bampis, Nicolas Thibault
STOC
1996
ACM
132views Algorithms» more  STOC 1996»
13 years 11 months ago
Approximability and Nonapproximability Results for Minimizing Total Flow Time on a Single Machine
We consider the problem of scheduling n jobs that are released over time on a single machine in order to minimize the total ow time. This problem is well-known to be NPcomplete, a...
Hans Kellerer, Thomas Tautenhahn, Gerhard J. Woegi...