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JMLR
2010
115views more  JMLR 2010»
15 years 1 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
BMCBI
2007
151views more  BMCBI 2007»
15 years 6 months ago
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
IFL
2005
Springer
16 years 14 hour ago
Polytypic Syntax Tree Operations
Polytypic functional programming has the advantage that it can derive code for generic functions automatically. However, it is not clear whether it is useful for anything other tha...
Arjen van Weelden, Sjaak Smetsers, Rinus Plasmeije...
ICA
2004
Springer
15 years 12 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
SMC
2007
IEEE
111views Control Systems» more  SMC 2007»
16 years 23 days ago
Prediction method to maintain QoS in weather impacted wireless and satellite networks
—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly ref...
Kamal Harb, Anand Srinivasan, Changcheng Huang, Br...