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JMLR
2006
389views more  JMLR 2006»
13 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
LCN
2006
IEEE
14 years 23 days ago
Exploiting Rate Diversity for Multicasting in Multi-Radio Wireless Mesh Networks
: A multi-rate capable IEEE 802.11a/b/g node can utilize different link-layer transmission rates. Interestingly, multi-rate capability is defined by IEEE 802.11 standards only for...
Junaid Qadir, Chun Tung Chou, Archan Misra
JDCTA
2010
135views more  JDCTA 2010»
13 years 1 months ago
Signal Framing Methods of Automotive Embedded Networked Control System for Bandwidth Consumption Optimization
Parameter (or variable) of automotive embedded networked control system is named as signal. In order to improve system performance and provide more remaining bandwidth for system ...
Jian Hu, Gangyan Li, Yeqiong Song
WWW
2006
ACM
14 years 7 months ago
Efficient search for peer-to-peer information retrieval using semantic small world
This paper proposes a semantic overlay based on the small world phenomenon that facilitates efficient search for information retrieval in unstructured P2P systems. In the semantic...
Hai Jin, Xiaomin Ning, Hanhua Chen
CN
2004
79views more  CN 2004»
13 years 6 months ago
Improving the accuracy of cell-based positioning for wireless networks
The location-sensing technology is a core technology of location-based services and applications. In this paper, we present a location-sensing method, called as cell-based positio...
Rong-Hong Jan, Hung-Chi Chu, Yi-Fang Lee