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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 3 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
ICANN
2010
Springer
15 years 25 days ago
Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodai...
ECCC
2000
158views more  ECCC 2000»
14 years 11 months ago
On the Computational Power of Winner-Take-All
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
Wolfgang Maass
ATAL
2010
Springer
15 years 26 days ago
Intelligent agents for the smart grid
The Intelligent Decentralised Energy-Aware Systems (iDEaS) project at the University of Southampton (see www.ideasproject.info) is developing and demonstrating the application of ...
Perukrishnen Vytelingum, Thomas Voice, Sarvapali D...
IJCNN
2008
IEEE
15 years 6 months ago
Fully complex-valued radial basis function networks for orthogonal least squares regression
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
Sheng Chen, Xia Hong, Chris J. Harris