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CP
2006
Springer
14 years 12 days ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
ICALP
2005
Springer
14 years 2 months ago
Stochastic Steiner Trees Without a Root
Abstract. This paper considers the Steiner tree problem in the model of twostage stochastic optimization with recourse. This model, the focus of much recent research [1–4], tries...
Anupam Gupta, Martin Pál
UAI
1998
13 years 10 months ago
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
Ronald Parr
ICDCS
1997
IEEE
14 years 27 days ago
Two New Quorum Based Algorithms for Distributed Mutual Exclusion
Two novel suboptimal algorithms for mutual exclusion in distributed systems are presented. One is based on the modi cation of Maekawa's grid based quorum scheme. The size of ...
Wai-Shing Luk, Tien-Tsin Wong
FOCS
2000
IEEE
14 years 8 days ago
Approximating the single source unsplittable min-cost flow problem
Abstract. In the single source unsplittable min-cost flow problem, commodities must be routed simultaneously from a common source vertex to certain destination vertices in a given ...
Martin Skutella