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» Robust estimation for sparse data
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ICASSP
2011
IEEE
14 years 1 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
ICASSP
2011
IEEE
14 years 1 months ago
A basis method for robust estimation of constrained MLLR
Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker adaptation technique in which an affine transform of the features is estimated for each speaker....
Daniel Povey, Kaisheng Yao
CSDA
2006
84views more  CSDA 2006»
14 years 9 months ago
Robust weighted LAD regression
The least squares linear regression estimator is well-known to be highly sensitive to unusual observations in the data, and as a result many more robust estimators have been propo...
Avi Giloni, Jeffrey S. Simonoff, Bhaskar Sengupta
KDD
1995
ACM
85views Data Mining» more  KDD 1995»
15 years 1 months ago
Estimating the Robustness of Discovered Knowledge
This paper introduces a new measurement, robustness, to measure the quality of machine-discovered knowledge from real-world databases that change over time. A piece of knowledge i...
Chun-Nan Hsu, Craig A. Knoblock
ICDE
2010
IEEE
211views Database» more  ICDE 2010»
15 years 4 months ago
ROX: The robustness of a run-time XQuery optimizer against correlated data
— We demonstrate ROX, a run-time optimizer of XQueries, that focuses on finding the best execution order of XPath steps and relational joins in an XQuery. The problem of join or...
Riham Abdel Kader, Peter A. Boncz, Stefan Manegold...