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PE
2010
Springer
170views Optimization» more  PE 2010»
15 years 5 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 10 months ago
Gossip PCA
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
Satish Babu Korada, Andrea Montanari, Sewoong Oh
ICDE
2005
IEEE
185views Database» more  ICDE 2005»
16 years 8 months ago
A Multiresolution Symbolic Representation of Time Series
Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this paper, we introduce a...
Vasileios Megalooikonomou, Qiang Wang, Guo Li, Chr...
EUROGP
2009
Springer
108views Optimization» more  EUROGP 2009»
16 years 1 months ago
Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution
Coevolution often gives rise to counter-intuitive dynamics that defy our expectations. Here we suggest that much of the confusion surrounding coevolution results from imprecise not...
Thomas Miconi
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
16 years 1 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...