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» Learning When to Use Lazy Learning in Constraint Solving
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AAAI
1997
13 years 8 months ago
Using CSP Look-Back Techniques to Solve Real-World SAT Instances
We report on the performance of an enhanced version of the “Davis-Putnam” (DP) proof procedure for propositional satisfiability (SAT) on large instances derived from realworld...
Roberto J. Bayardo Jr., Robert Schrag
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 11 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
JAIR
2008
120views more  JAIR 2008»
13 years 7 months ago
MiniMaxSAT: An Efficient Weighted Max-SAT solver
In this paper we introduce MINIMAXSAT, a new Max-SAT solver that is built on top of MINISAT+. It incorporates the best current SAT and Max-SAT techniques. It can handle hard claus...
Federico Heras, Javier Larrosa, Albert Oliveras
TLT
2008
93views more  TLT 2008»
13 years 7 months ago
What Do You Prefer? Using Preferences to Enhance Learning Technology
While the growing number of learning resources increases the choice for learners on how, what and when to learn, it also makes it more and more difficult to find the learning resou...
Philipp Kärger, Daniel Olmedilla, Fabian Abel...
UAI
2003
13 years 8 months ago
Robust Independence Testing for Constraint-Based Learning of Causal Structure
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
Denver Dash, Marek J. Druzdzel