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ESANN
2003
14 years 11 months ago
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Fo...
TCOM
2008
118views more  TCOM 2008»
14 years 8 months ago
Performance analysis for collaborative decoding with least-reliable-bits exchange on AWGN channels
Collaborative decoding is an approach that can achieve diversity and combining gain by exchanging decoding information among a cluster of physically separated receivers. On AWGN ch...
Xin Li, Tan F. Wong, John M. Shea
QRE
2008
140views more  QRE 2008»
14 years 9 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
NIPS
2008
14 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
TIFS
2010
184views more  TIFS 2010»
14 years 7 months ago
Information-theoretically secret key generation for fading wireless channels
—The multipath-rich wireless environment associated with typical wireless usage scenarios is characterized by a fading channel response that is time-varying, location-sensitive, ...
Chunxuan Ye, Suhas Mathur, Alex Reznik, Yogendra S...