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» On the Learnability of Boolean Formulae
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ENTCS
2008
102views more  ENTCS 2008»
15 years 1 months ago
Soft Linear Logic and Polynomial Complexity Classes
We describe some results inspired to Lafont's Soft Linear Logic (SLL) which is a subsystem of second-order linear logic with restricted rules for exponentials, correct and co...
Marco Gaboardi, Jean-Yves Marion, Simona Ronchi De...
ENTCS
2006
113views more  ENTCS 2006»
15 years 1 months ago
Mining Propositional Simplification Proofs for Small Validating Clauses
The problem of obtaining small conflict clauses in SMT systems has received a great deal of attention recently. We report work in progress to find small subsets of the current par...
Ian Wehrman, Aaron Stump
DAC
2002
ACM
16 years 2 months ago
Combining strengths of circuit-based and CNF-based algorithms for a high-performance SAT solver
We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...
PLDI
2009
ACM
15 years 8 months ago
Analyzing recursive programs using a fixed-point calculus
We show that recursive programs where variables range over finite domains can be effectively and efficiently analyzed by describing the analysis algorithm using a formula in a ...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 5 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass