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GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 10 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
STOC
2003
ACM
122views Algorithms» more  STOC 2003»
14 years 6 months ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
CADE
2009
Springer
14 years 6 months ago
Ground Interpolation for Combined Theories
Abstract. We give a method for modular generation of ground interpolants in modern SMT solvers supporting multiple theories. Our method uses a novel algorithm to modify the proof t...
Amit Goel, Sava Krstic, Cesare Tinelli
DAC
2001
ACM
14 years 7 months ago
Circuit-based Boolean Reasoning
Many tasks in CAD, such as equivalence checking, property checking, logic synthesis, and false paths analysis require efficient Boolean reasoning for problems derived from circuit...
Andreas Kuehlmann, Malay K. Ganai, Viresh Paruthi
FROCOS
2007
Springer
14 years 12 days ago
Architecting Solvers for SAT Modulo Theories: Nelson-Oppen with DPLL
We offer a transition system representing a high-level but detailed architecture for SMT solvers that combine a propositional SAT engine with solvers for multiple disjoint theorie...
Sava Krstic, Amit Goel