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» Learning the Daily Model of Network Traffic
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NIPS
2008
13 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ATAL
2006
Springer
13 years 11 months ago
Scalable and reliable data delivery in mobile ad hoc sensor networks
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
Bin Yu, Paul Scerri, Katia P. Sycara, Yang Xu, Mic...
ATMOS
2008
103views Optimization» more  ATMOS 2008»
13 years 9 months ago
IP-based Techniques for Delay Management with Priority Decisions
Delay management is an important issue in the daily operations of any railway company. The task is to update the planned timetable to a disposition timetable in such a way that the...
Michael Schachtebeck, Anita Schöbel
TON
2010
167views more  TON 2010»
13 years 2 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
GLOBECOM
2009
IEEE
13 years 5 months ago
Cooperative Communications with Relay Selection for QoS Provisioning in Wireless Sensor Networks
Abstract--Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in ...
Xuedong Liang, Ilangko Balasingham, Victor C. M. L...