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» On the Learnability of Boolean Formulae
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JAIR
2006
106views more  JAIR 2006»
13 years 7 months ago
Clause/Term Resolution and Learning in the Evaluation of Quantified Boolean Formulas
Resolution is the rule of inference at the basis of most procedures for automated reasoning. In these procedures, the input formula is first translated into an equisatisfiable for...
Enrico Giunchiglia, Massimo Narizzano, Armando Tac...
CPC
1998
91views more  CPC 1998»
13 years 7 months ago
Complexity and Probability of Some Boolean Formulas
For any Boolean functionf letL(f) be its formulasizecomplexityin the basis f^ 1g. For every n and every k n=2, we describe a probabilistic distribution on formulas in the basis f^...
Petr Savický
SAS
2010
Springer
159views Formal Methods» more  SAS 2010»
13 years 6 months ago
Automatic Abstraction for Intervals Using Boolean Formulae
c Abstraction for Intervals Using Boolean Formulae J¨org Brauer1 and Andy King2 1 Embedded Software Laboratory, RWTH Aachen University, Germany 2 Portcullis Computer Security, Pin...
Jörg Brauer, Andy King
AAAI
2000
13 years 9 months ago
A Distributed Algorithm to Evaluate Quantified Boolean Formulae
In this paper, we present PQSOLVE, a distributed theorem-prover for Quantified Boolean Formulae. First, we introduce our sequential algorithm QSOLVE, which uses new heuristics and...
Rainer Feldmann, Burkhard Monien, Stefan Schamberg...
CINQ
2004
Springer
131views Database» more  CINQ 2004»
14 years 1 months ago
Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
Artur Bykowski, Jouni K. Seppänen, Jaakko Hol...