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179
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TNN
2010
234views Management» more  TNN 2010»
14 years 10 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
147
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TON
2010
136views more  TON 2010»
14 years 10 months ago
Distributed Opportunistic Scheduling With Two-Level Probing
Distributed opportunistic scheduling (DOS) is studied for wireless ad-hoc networks in which many links contend for the channel using random access before data transmissions. Simpl...
P. S. Chandrashekhar Thejaswi, Junshan Zhang, Man-...
155
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TSMC
2010
14 years 10 months ago
A Biologically Inspired Sensor Wakeup Control Method for Wireless Sensor Networks
-- This paper presents an artificial ant-colony approach to distributed sensor wakeup control in wireless sensor networks (WSN) to accomplish the joint task of surveillance and tar...
Yan Liang, Jiannong Cao, Lei Zhang 0006, Rui Wang,...
167
Voted
TSP
2010
14 years 10 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
220
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TWC
2010
14 years 10 months ago
MMSE Based Transceiver Designs in Closed-Loop Non-Regenerative MIMO Relaying Systems
In this paper, we propose a new design strategy based on the minimum mean-squared error (MMSE) in closedloop non-regenerative multiple-input multiple-output (MIMO) relaying system...
Chang-Ick Song, Kyoung-Jae Lee, Inkyu Lee
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