172 search results - page 5 / 35 » Fast covariance estimation for high-dimensional functional d... |
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
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ICPPW
2009
IEEE
15 years 4 months ago
2009
IEEE
Conventional autotuning configuration of parameters in distributed computing systems using evolutionary strategies increases integrated performance notably, though at the expense ...
ISCAS
2008
IEEE
15 years 4 months ago
2008
IEEE
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
101
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TSP
2012
13 years 5 months ago
2012
—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
MA
2010
Springer
14 years 8 months ago
2010
Springer
Abstract − We address the estimation of quantiles from heavy-tailed distributions when functional covariate information is available and in the case where the order of the quanti...