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IJCNN
2007
IEEE
16 years 17 days ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
BMCBI
2008
131views more  BMCBI 2008»
15 years 6 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
DIAGRAMS
2006
Springer
15 years 8 months ago
From Diagrams to Models by Analogical Transfer
Abstract. We present a method for constructing a teleological model of a drawing of a physical device through analogical transfer of the teleological model of the same device in an...
Patrick W. Yaner, Ashok K. Goel
BC
2010
57views more  BC 2010»
15 years 3 months ago
Mappings between a macroscopic neural-mass model and a reduced conductance-based model
We present two alternative mappings between a macroscopic neural mass model and a reduction of a conductance-based model. These provide possible explanations of the relationship b...
Serafim Rodrigues, Anton V. Chizhov, Frank Marten,...
ICASSP
2011
IEEE
14 years 10 months ago
Characterizing physical-layer secrecy with unknown eavesdropper locations and channels
—We present a probabilistic framework for physical layer secrecy when the locations and channels of the eavesdroppers are unknown. The locations are modeled by a Poisson point pr...
Mounir Ghogho, Ananthram Swami