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» Representation of Functional Data in Neural Networks
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ICASSP
2011
IEEE
14 years 7 months ago
Multichannel EEG analysis based on multi-scale multi-information
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Ying Liu, Selin Aviyente
ICANN
2009
Springer
15 years 8 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
TPDS
2010
118views more  TPDS 2010»
15 years 2 months ago
Using Parallel Bloom Filters for Multiattribute Representation on Network Services
—One widely used mechanism for representing membership of a set of items is the simple space-efficient randomized data structure known as Bloom filters. Yet, Bloom filters are no...
Bin Xiao, Yu Hua
BMCBI
2007
133views more  BMCBI 2007»
15 years 4 months ago
Semantic integration to identify overlapping functional modules in protein interaction networks
Background: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be ...
Young-Rae Cho, Woochang Hwang, Murali Ramanathan, ...
ESANN
2004
15 years 5 months ago
Convergence properties of a fuzzy ARTMAP network
FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...
Razvan Andonie, Lucian Sasu