76 search results - page 2 / 16 » Robustness analysis for Least Squares kernel based regressio... |
JMLR
2010
12 years 11 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...
NECO
2011
12 years 11 months ago
2011
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
SOCO
2008
Springer
13 years 4 months ago
2008
Springer
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
INFOCOM
2007
IEEE
13 years 10 months ago
2007
IEEE
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...