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KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 10 months ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
POPL
2008
ACM
14 years 10 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
POPL
2007
ACM
14 years 10 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic
POPL
2005
ACM
14 years 10 months ago
Transition predicate abstraction and fair termination
on Predicate Abstraction and Fair Termination Andreas Podelski Andrey Rybalchenko Max-Planck-Institut f?ur Informatik Saarbr?ucken, Germany Predicate abstraction is the basis of m...
Andreas Podelski, Andrey Rybalchenko
RECOMB
2004
Springer
14 years 10 months ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
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