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» On Models for Quantified Boolean Formulas
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ISHPC
1999
Springer
13 years 11 months ago
Instruction-Level Microprocessor Modeling of Scientific Applications
Superscalar microprocessor efficiency is generally not as high as anticipated. In fact, sustained utilization below thirty percent of peak is not uncommon, even for fully optimized...
Kirk W. Cameron, Yong Luo, James Scharzmeier
CORR
2004
Springer
129views Education» more  CORR 2004»
13 years 7 months ago
On Generalized Records and Spatial Conjunction in Role Logic
We have previously introduced role logic as a notation for describing properties of relational structures in shape analysis, databases and knowledge bases. A natural fragment of ro...
Viktor Kuncak, Martin C. Rinard
FOCS
2003
IEEE
14 years 24 days ago
Learning DNF from Random Walks
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell,...
ICDT
2010
ACM
141views Database» more  ICDT 2010»
13 years 11 months ago
The Complexity of Rooted Phylogeny problems
Several computational problems in phylogenetic reconstruction can be formulated as restrictions of the following general problem: given a formula in conjunctive normal form where ...
Manuel Bodirsky, Jens K. Mueller
TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
14 years 1 months ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...