1875 search results - page 19 / 375 » Kernel Methods for Pattern Analysis |
BIBM
2008
IEEE
13 years 9 months ago
2008
IEEE
: The analysis of Biological Regulatory Network (BRN) leads to compute the set of the possible behaviours of the biological components. These behaviours are seen as trajectories an...
TSMC
2008
13 years 6 months ago
2008
Abstract-- Using the kernel trick idea and the kernels as features idea, we can construct two kinds of nonlinear feature spaces, where linear feature extraction algorithms can be e...
IJCAI
2007
13 years 9 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
CSDA
2007
13 years 7 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
ICA
2004
Springer
2004
Springer
Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method
14 years 1 months ago
The variational Bayesian nonlinear blind source separation method introduced by Lappalainen and Honkela in 2000 is initialised with linear principal component analysis (PCA). Becau...