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TSD
2010
Springer
15 years 1 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
KES
2006
Springer
15 years 4 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...
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RECOMB
2008
Springer
16 years 4 months ago
Automatic Parameter Learning for Multiple Network Alignment
We developed Gr?mlin 2.0, a new multiple network aligner with (1) a novel scoring function that can use arbitrary features of a multiple network alignment, such as protein deletion...
Jason Flannick, Antal F. Novak, Chuong B. Do, Bala...
AINA
2008
IEEE
15 years 10 months ago
An Analytical Study of Wireless Error Models for Bluetooth Networks
Data transmission over wireless networks is challenging due to the occurrence of burst errors, and packet loss caused by such errors seriously limits the maximum achievable throug...
Hao-Hsiang Hung, Ling-Jyh Chen
GLOBECOM
2008
IEEE
15 years 10 months ago
Networked Embedded Systems: A Quantitative Performance Comparison
— Networked embedded systems are gaining more and more attention and their use in current network scenarios is of indisputable importance. Research community and industry are pro...
Alessio Botta, Walter de Donato, Antonio Pescap&eg...