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» Learning Domain-Specific Heuristics for Answer Set Solvers
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FLAIRS
2006
13 years 5 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
ICTAI
2007
IEEE
13 years 10 months ago
Adaptive Lookahead for Answer Set Computation
Lookahead is a well-known constraint propagation technique for DPLL-based SAT and answer set solvers. Despite its space pruning power, it can also slow down the search, due to its...
Guohua Liu, Jia-Huai You
LPNMR
2007
Springer
13 years 10 months ago
On the Effectiveness of Looking Ahead in Search for Answer Sets
Abstract. Most complete answer set solvers are based on DPLL. One of the constraint propagation methods is the so-called lookahead, which has been somewhat controversial, due to it...
Guohua Liu, Jia-Huai You
AAAI
2007
13 years 6 months ago
Learning to Solve QBF
We present a novel approach to solving Quantified Boolean Formulas (QBF) that combines a search-based QBF solver with machine learning techniques. We show how classification met...
Horst Samulowitz, Roland Memisevic
DGO
2004
110views Education» more  DGO 2004»
13 years 5 months ago
Question Answering Performance on Table Data
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Xing Wei, W. Bruce Croft, David Pinto