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GIS
1992
ACM
15 years 10 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
SMA
1993
ACM
107views Solid Modeling» more  SMA 1993»
15 years 10 months ago
Relaxed parametric design with probabilistic constraints
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
Yacov Hel-Or, Ari Rappoport, Michael Werman
ASPDAC
1998
ACM
72views Hardware» more  ASPDAC 1998»
15 years 10 months ago
Space- and Time-Efficient BDD Construction via Working Set Control
Binary decision diagrams (BDDs) have been shown to be a powerful tool in formal verification. Efficient BDD construction techniques become more important as the complexity of proto...
Bwolen Yang, Yirng-An Chen, Randal E. Bryant, Davi...
FROCOS
2007
Springer
15 years 10 months ago
From KSAT to Delayed Theory Combination: Exploiting DPLL Outside the SAT Domain
In the last two decades we have witnessed an impressive advance in the efficiency of propositional satisfiability techniques (SAT), which has brought large and previously-intractab...
Roberto Sebastiani
ATVA
2006
Springer
123views Hardware» more  ATVA 2006»
15 years 10 months ago
Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
Alastair F. Donaldson, Alice Miller