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ICSE
2009
IEEE-ACM
14 years 11 months ago
Learning operational requirements from goal models
Goal-oriented methods have increasingly been recognised as an effective means for eliciting, elaborating, analysing and specifying software requirements. A key activity in these a...
Alessandra Russo, Dalal Alrajeh, Jeff Kramer, Seba...
ADHOCNOW
2008
Springer
13 years 11 months ago
A Novel Mobility Model from a Heterogeneous Military MANET Trace
In this paper we describe our analysis of a real trace and propose a mobility model. The trace data we used for this study was collected from a military experiment carried out in L...
Xiaofeng Lu, Yung-chih Chen, Ian X. Y. Leung, Zhan...
IJAR
2010
152views more  IJAR 2010»
13 years 8 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
DSN
2009
IEEE
14 years 4 months ago
Report generation for simulation traces with Traviando
Any model-based evaluation of the dependability of a system requires validation and verification to justify that its results are meaningful. Modern modeling frameworks enable us ...
Peter Kemper
ECML
2007
Springer
14 years 4 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou