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JMLR
2007
104views more  JMLR 2007»
13 years 11 months ago
Learnability of Gaussians with Flexible Variances
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Yiming Ying, Ding-Xuan Zhou
AUSDM
2008
Springer
199views Data Mining» more  AUSDM 2008»
14 years 1 months ago
Kernel-based Visualisation of Genes with the Gene Ontology
With the development of microarray
Hamid Ghous, Paul J. Kennedy, Daniel R. Catchpoole...
ICAISC
2004
Springer
14 years 4 months ago
Visualizing and Analyzing Multidimensional Output from MLP Networks via Barycentric Projections
Barycentric plotting, achieved by placing gaussian kernels in distant corners of the feature space and projecting multidimensional output of neural network on a plane, provides inf...
Filip Piekniewski, Leszek Rybicki
ICANN
2005
Springer
14 years 5 months ago
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
Amaury Lendasse, Yongnan Ji, Nima Reyhani, Michel ...
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 5 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
ICIP
2006
IEEE
15 years 1 months ago
Anisotropic Gaussian Filtering using Fixed Point Arithmetic
Gaussian filtering in one, two or three dimensions is among the most commonly needed tasks in signal and image processing. Finite impulse response filters in the time domain with ...
Christoph H. Lampert, Oliver Wirjadi