255 search results - page 12 / 51 » Distributed sparse linear regression |
95
Voted
DSP
2008
15 years 13 days ago
2008
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
128
Voted
BMCBI
2006
15 years 12 days ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
137
Voted
ESSMAC
2003
Springer
15 years 5 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
98
Voted
TASLP
2010
14 years 7 months ago
2010
Reproducing a sampled sound field using an array of loudspeakers is a problem with well-appreciated applications to acoustics and ultrasound treatment. Loudspeaker signal design ha...
101
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KDD
2008
ACM
16 years 23 days ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...