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» Importance Sampling for Continuous Time Bayesian Networks
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NCI
2004
188views Neural Networks» more  NCI 2004»
15 years 1 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
CLADE
2008
IEEE
15 years 6 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
TCS
2011
14 years 6 months ago
Parameter estimation for Boolean models of biological networks
Boolean networks have long been used as models of molecular networks and play an increasingly important role in systems biology. This paper describes a software package, offered ...
Elena S. Dimitrova, Luis David García-Puent...
ISORC
2007
IEEE
15 years 6 months ago
QoS Management of Real-Time Data Stream Queries in Distributed Environments
Many emerging applications operate on continuous unbounded data streams and need real-time data services. Providing deadline guarantees for queries over dynamic data streams is a ...
Yuan Wei, Vibha Prasad, Sang Hyuk Son
CORR
2008
Springer
127views Education» more  CORR 2008»
14 years 12 months ago
On the long time behavior of the TCP window size process
The TCP window size process appears in the modeling of the famous Transmission Control Protocol used for data transmission over the Internet. This continuous time Markov process t...
Djalil Chafaï, Florent Malrieu, Katy Paroux