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» Approximating Travel Times Using Opportunistic Networking
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QEST
2009
IEEE
15 years 10 months ago
Comparison of Two Output Models for the BMAP/MAP/1 Departure Process
—The departure process of a BMAP/MAP/1 queue can be approximated in different ways: as a Markovian arrival process (MAP) or as a matrix-exponential process (MEP). Both approximat...
Qi Zhang, Armin Heindl, Evgenia Smirni, Andreas St...
CORR
2011
Springer
199views Education» more  CORR 2011»
14 years 7 months ago
Maximum Gain Round Trips with Cost Constraints
Searching for optimal ways in a network is an important task in multiple application areas such as social networks, co-citation graphs or road networks. In the majority of applicat...
Franz Graf, Hans-Peter Kriegel, Matthias Schubert
116
Voted
TMC
2011
203views more  TMC 2011»
14 years 10 months ago
Throughput Optimization in Mobile Backbone Networks
—This paper describes new algorithms for throughput optimization in a mobile backbone network. This hierarchical communication framework combines mobile backbone nodes, which hav...
Emily M. Craparo, Jonathan P. How, Eytan Modiano
ICANN
2009
Springer
15 years 8 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
158
Voted
INFOCOM
2006
IEEE
15 years 9 months ago
Relay Placement for Higher Order Connectivity in Wireless Sensor Networks
Abstract— Sensors typically use wireless transmitters to communicate with each other. However, sensors may be located in a way that they cannot even form a connected network (e.g...
Abhishek Kashyap, Samir Khuller, Mark A. Shayman