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JMLR
2010
140views more  JMLR 2010»
14 years 6 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
CCGRID
2007
IEEE
15 years 6 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
COR
2010
124views more  COR 2010»
14 years 12 months ago
On tandem blocking queues with a common retrial queue
We consider systems of tandem blocking queues having a common retrial queue. The model represents dynamics of short TCP transfers in the Internet. Analytical results are available...
Konstantin Avrachenkov, Uri Yechiali
GEOS
2007
Springer
15 years 6 months ago
Modeling Spatio-temporal Network Computations: A Summary of Results
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...
Betsy George, Shashi Shekhar
GI
2008
Springer
15 years 27 days ago
A Novel Conceptual Model for Accessing Distributed Data and Applications, as well as Devices
: As data and services are increasingly distributed in the network, rather than stored in a fixed location, one can imagine a scenario in which the Personal Computer, intended as a...
Lucia Terrenghi, Thomas Lang