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» Conflict Analysis in Search Algorithms for Satisfiability
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AAAI
2006
14 years 11 months ago
An Efficient Algorithm for Local Distance Metric Learning
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu
AI
1999
Springer
14 years 9 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
IPPS
1999
IEEE
15 years 2 months ago
Experimental Evaluation of QSM, a Simple Shared-Memory Model
Parallel programming models should attempt to satisfy two conflicting goals. On one hand, they should hide architectural details so that algorithm designers can write simple, port...
Brian Grayson, Michael Dahlin, Vijaya Ramachandran
AAAI
2004
14 years 11 months ago
MAX-2-SAT: How Good Is Tabu Search in the Worst-Case?
Tabu search algorithms are amongst the most successful local search based methods for the maximum satisfiability problem. The practical superiority of tabu search over the local s...
Monaldo Mastrolilli, Luca Maria Gambardella
JAIR
2000
123views more  JAIR 2000»
14 years 9 months ago
Backbone Fragility and the Local Search Cost Peak
The local search algorithm WSat is one of the most successful algorithms for solving the satisfiability (SAT) problem. It is notably effective at solving hard Random 3-SAT instanc...
Josh Singer, Ian P. Gent, Alan Smaill