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» Improved independent component regression modeling
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STOC
2010
ACM
185views Algorithms» more  STOC 2010»
13 years 11 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
INTERSPEECH
2010
13 years 2 months ago
Augmentation of adaptation data
Linear regression based speaker adaptation approaches can improve Automatic Speech Recognition (ASR) accuracy significantly for a target speaker. However, when the available adapt...
Ravichander Vipperla, Steve Renals, Joe Frankel
CLUSTER
2003
IEEE
14 years 20 days ago
Run-Time Prediction of Parallel Applications on Shared Environments
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Byoung-Dai Lee, Jennifer M. Schopf
PKDD
2009
Springer
196views Data Mining» more  PKDD 2009»
14 years 1 months ago
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...
Kun Zhang, Aapo Hyvärinen
TSP
2008
119views more  TSP 2008»
13 years 7 months ago
Universal Weighted MSE Improvement of the Least-Squares Estimator
Since the seminal work of Stein in the 1950s, there has been continuing research devoted to improving the total meansquared error (MSE) of the least-squares (LS) estimator in the l...
Yonina C. Eldar