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» Information complexity of neural networks
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NN
2002
Springer
226views Neural Networks» more  NN 2002»
15 years 6 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
ICANN
2011
Springer
14 years 10 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
WWW
2007
ACM
16 years 7 months ago
The complex dynamics of collaborative tagging
The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems...
Harry Halpin, Valentin Robu, Hana Shepherd
ALGOSENSORS
2010
Springer
15 years 5 months ago
MSDR-D Network Localization Algorithm
Abstract. We present a distributed multi-scale dead-reckoning (MSDR-D) algorithm for network localization that utilizes local distance and angular information for nearby sensors. T...
Kevin Coogan, Varun Khare, Stephen G. Kobourov, Ba...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher