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PLDI
2003
ACM
15 years 11 months ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
KI
2009
Springer
16 years 1 months ago
Planning with h +  in Theory and Practice
Abstract. Many heuristic estimators for classical planning are based on the socalled delete relaxation, which ignores negative effects of planning operators. Ideally, such heuristi...
Christoph Betz, Malte Helmert
AAAI
2004
15 years 8 months ago
Distance Estimates for Planning in the Discrete Belief Space
We present a general framework for studying heuristics for planning in the belief space. Earlier work has focused on giving implementations of heuristics that work well on benchma...
Jussi Rintanen
FLAIRS
2006
15 years 8 months ago
Full Restart Speeds Learning
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...
Smiljana Petrovic, Susan L. Epstein
TPDS
2008
64views more  TPDS 2008»
15 years 6 months ago
Linear Programming-Based Affinity Scheduling of Independent Tasks on Heterogeneous Computing Systems
Abstract-- Resource management systems (RMS) are an important component in heterogeneous computing (HC) systems. One of the jobs of an RMS is the mapping of arriving tasks onto the...
Issam Al-Azzoni, Douglas G. Down