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ESANN
2000
15 years 5 months ago
A statistical model selection strategy applied to neural networks
In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
Joaquín Pizarro Junquera, Elisa Guerrero V&...
SAMOS
2010
Springer
15 years 2 months ago
Identifying communication models in Process Networks derived from Weakly Dynamic Programs
—Process Networks (PNs) is an appealing computation ion helping to specify an application in parallel form and realize it on parallel platforms. The key questions to be answered ...
Dmitry Nadezhkin, Todor Stefanov
ICIP
2006
IEEE
16 years 6 months ago
Predictive Modeling of Video Packet Delay in IP Networks
This paper studies linear prediction algorithms for packet-delay modeling. A detailed examination of the delay traces collected from video streams encoded at different bitrates, s...
Ali C. Begen, Mehmet A. Begen, Yucel Altunbasak
GPC
2007
Springer
15 years 10 months ago
Heterogeneous Wireless Sensor Network Deployment and Topology Control Based on Irregular Sensor Model
Heterogeneous wireless sensor network (heterogeneous WSN) consists of sensor nodes with different ability, such as different computing power and sensing range. Compared with homoge...
Chun-Hsien Wu, Yeh-Ching Chung
IAT
2005
IEEE
15 years 10 months ago
Modelling Multiagent Bayesian Networks with Inclusion Dependencies
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...
Cory J. Butz