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KES
2006
Springer
13 years 7 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...
TSD
2005
Springer
14 years 1 months ago
Mapping the Speech Signal onto Electromagnetic Articulography Trajectories Using Support Vector Regression
Abstract. We report work on the mapping between the speech signal and articulatory trajectories from the MOCHA database. Contrasting previous works that used Neural Networks for th...
Asterios Toutios, Konstantinos G. Margaritis
ICARIS
2003
Springer
14 years 23 days ago
An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems
Supermarkets lose millions of pounds every year through lost trading and stock wastage caused by the failure of refrigerated cabinets. Therefore, a huge commercial market exists fo...
Dan W. Taylor, David Corne
BMCBI
2005
198views more  BMCBI 2005»
13 years 7 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
ACSW
2004
13 years 9 months ago
A Market-based Rule Learning System
In this paper, a `market trading' technique is integrated with the techniques of rule discovery and refinement for data mining. A classifier system-inspired model, the market...
Qingqing Zhou, Martin K. Purvis