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JMLR
2006
389views more  JMLR 2006»
13 years 9 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,...
JSAC
2006
107views more  JSAC 2006»
13 years 9 months ago
Adaptive Sensor Activity Control in Many-to-One Sensor Networks
Abstract--In this paper, we consider a many-to-one sensor network where a large number of sensors are deployed to monitor a physical environment. We explore sensor activity managem...
Zhifeng Hu, Junshan Zhang, Lang Tong
JSAC
2006
167views more  JSAC 2006»
13 years 9 months ago
Secure and resilient clock synchronization in wireless sensor networks
Abstract--Wireless sensor networks have received a lot of attention recently due to its wide applications. An accurate and synchronized clock time is crucial in many sensor network...
Kun Sun, Peng Ning, Cliff Wang
JUCS
2006
185views more  JUCS 2006»
13 years 9 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
ESWA
2007
127views more  ESWA 2007»
13 years 9 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
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