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SIGSOFT
2009
ACM
14 years 10 months ago
Probabilistic environments in the quantitative analysis of (non-probabilistic) behaviour models
System specifications have long been expressed through automata-based languages, enabling verification techniques such as model checking. These verification techniques can assess ...
Esteban Pavese, Sebastián Uchitel, Ví...
ML
2008
ACM
100views Machine Learning» more  ML 2008»
13 years 9 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
QEST
2007
IEEE
14 years 4 months ago
Probabilistic Model-Checking Support for FMEA
Failure Mode and Effect Analysis (FMEA) is a method for assessing cause-consequence relations between component faults and hazards that may occur during the lifetime of a system. ...
Lars Grunske, Robert Colvin, Kirsten Winter
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 4 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
MMS
2006
13 years 9 months ago
A probabilistic semantic model for image annotation and multi-modal image retrieval
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, ...