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CADE
2006
Springer
14 years 8 months ago
Inferring Network Invariants Automatically
Abstract. Verification by network invariants is a heuristic to solve uniform verification of parameterized systems. Given a system P, a network invariant for P is that abstracts th...
Olga Grinchtein, Martin Leucker, Nir Piterman
ESOP
2007
Springer
14 years 1 months ago
A Rewriting Semantics for Type Inference
When students first learn programming, they often rely on a simple operational model of a program’s behavior to explain how particular features work. Because such models build o...
George Kuan, David MacQueen, Robert Bruce Findler
ECCB
2003
IEEE
14 years 29 days ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
BMCBI
2008
100views more  BMCBI 2008»
13 years 7 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
SAS
2009
Springer
162views Formal Methods» more  SAS 2009»
14 years 8 months ago
Interval Polyhedra: An Abstract Domain to Infer Interval Linear Relationships
Polyhedra: An Abstract Domain to Infer Interval Linear Relationships Liqian Chen1,2 , Antoine Min?e2,3 , Ji Wang1 , and Patrick Cousot2,4 1 National Laboratory for Parallel and Dis...
Antoine Miné, Ji Wang, Liqian Chen, Patrick...