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JCP
2007
150views more  JCP 2007»
15 years 4 months ago
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Abstract— This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of rel...
Christophe Simon, Philippe Weber, Eric Levrat
PVLDB
2010
134views more  PVLDB 2010»
15 years 3 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
DIS
2009
Springer
15 years 11 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
CANDC
2000
ACM
15 years 4 months ago
Sequence Complexity for Biological Sequence Analysis
A new statistical model for DNA considers a sequence to be a mixture of regions with little structure and regions that are approximate repeats of other subsequences, i.e. instance...
Lloyd Allison, Linda Stern, Timothy Edgoose, Trevo...
131
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AAAI
2008
15 years 7 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan