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APWEB
2005
Springer
14 years 3 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
BMCBI
2008
100views more  BMCBI 2008»
13 years 10 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 10 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
ICICS
2009
Springer
14 years 4 months ago
Security Analysis of the GF-NLFSR Structure and Four-Cell Block Cipher
The overall structure is one of the most important properties of block ciphers. At present, the most common structures include Feistel structure, SP structure, MISTY structure, L-M...
Wenling Wu, Lei Zhang, Liting Zhang, Wentao Zhang
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
14 years 4 months ago
Dynamical structure analysis of sparsity and minimality heuristics for reconstruction of biochemical networks
— Network reconstruction, i.e. obtaining network structure from input-output information, is a central theme in systems biology. A variety of approaches aim to obtaining structur...
Russell Howes, Lee John Eccleston, Jorge M. Goncal...