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» Dynamically inferring temporal properties
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IEEEARES
2006
IEEE
14 years 4 months ago
Modeling Dependable Systems using Hybrid Bayesian Networks
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
JMLR
2010
103views more  JMLR 2010»
13 years 5 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
AVI
2010
13 years 12 months ago
Implied dynamics in information visualization
Information visualization is a powerful method for understanding and working with data. However, we still have an incomplete understanding of how people use visualization to think...
Caroline Ziemkiewicz, Robert Kosara
UAI
2004
13 years 11 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
ICSE
1999
IEEE-ACM
14 years 2 months ago
Dynamically Discovering Likely Program Invariants to Support Program Evolution
ÐExplicitly stated program invariants can help programmers by identifying program properties that must be preserved when modifying code. In practice, however, these invariants are...
Michael D. Ernst, Jake Cockrell, William G. Griswo...