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TNN
2010
234views Management» more  TNN 2010»
14 years 4 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
RTAS
2011
IEEE
14 years 1 months ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
SPAA
2003
ACM
15 years 3 months ago
Information gathering in adversarial systems: lines and cycles
In this paper we consider the problem of routing packets to a single destination in a dynamically changing network, where both the network and the packet injections are under adve...
Kishore Kothapalli, Christian Scheideler
PIMRC
2008
IEEE
15 years 4 months ago
Constrained opportunistic power control in wireless networks
— In the opportunistic power control algorithm (OPC), designed in [1], [2], each user tries to keep the product of its transmit power and its experienced effective interference t...
Mehdi Rasti, Ahmad R. Sharafat
DCOSS
2006
Springer
15 years 1 months ago
Approximation Algorithms for Power-Aware Scheduling of Wireless Sensor Networks with Rate and Duty-Cycle Constraints
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
Rajgopal Kannan, Shuangqing Wei