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» Parametric Process Model Inference
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SIGSOFT
2009
ACM
14 years 8 months ago
Automatic steering of behavioral model inference
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
David Lo, Leonardo Mariani, Mauro Pezzè
KBSE
2008
IEEE
14 years 2 months ago
Inferring Finite-State Models with Temporal Constraints
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Neil Walkinshaw, Kirill Bogdanov
NIPS
1998
13 years 9 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
EMO
2005
Springer
108views Optimization» more  EMO 2005»
14 years 1 months ago
Multi-objective Model Optimization for Inferring Gene Regulatory Networks
With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological proc...
Christian Spieth, Felix Streichert, Nora Speer, An...
CORR
2007
Springer
121views Education» more  CORR 2007»
13 years 7 months ago
Diagrammatic Inference
Diagrammatic logics were introduced in 2002, with emphasis on the notions of specifications and models. In this paper we improve the description of the inference process, which i...
Dominique Duval