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» Neural Network Processing for Multiset Data
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169
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ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
15 years 17 days ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
113
Voted
NN
2002
Springer
125views Neural Networks» more  NN 2002»
15 years 2 months ago
Neuromodulation of decision and response selection
We present a model for the attentional neuromodulation of decision and selection processes. The model assumes that phasic responses in the brain nucleus Locus Coeruleus modulate, ...
Marius Usher, Eddy J. Davelaar
116
Voted
ASC
2006
15 years 4 months ago
Supervised neuronal approaches for EEG signal classification: Experimental studies
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
Frédéric Alexandre, Kerkeni Nizar, K...
114
Voted
ESOA
2006
15 years 6 months ago
Dynamic Decentralized Any-Time Hierarchical Clustering
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
109
Voted
ICANN
2005
Springer
15 years 8 months ago
Data Fusion for Modern Engineering Applications: An Overview
An overview of data fusion approaches is provided from the signal processing viewpoint. The general concept of data fusion is introduced, together with the related architectures, a...
Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, T...