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CORR
2011
Springer
153views Education» more  CORR 2011»
14 years 4 months ago
Partially Linear Bayesian Estimation with Application to Sparse Approximations
—We address the problem of estimating a random vector X from two sets of measurements Y and Z, such that the estimator is linear in Y . We show that the partially linear minimum ...
Tomer Michaeli, Daniel Sigalov, Yonina C. Eldar
HYBRID
2000
Springer
15 years 1 months ago
Verification of Hybrid Systems with Linear Differential Inclusions Using Ellipsoidal Approximations
A general verification algorithm is described. It is then shown how ellipsoidal methods developed by A. B. Kurzhanski and P. Varaiya can be adapted to the algorithm. New numerical ...
Oleg Botchkarev, Stavros Tripakis
ICASSP
2008
IEEE
15 years 4 months ago
Identification of linear systems with adaptive control of the cross-multiplicative transfer function approximation
In this paper, we extend the cross-multiplicative transfer function (CMTF) approach for improved system identification in the shorttime Fourier transform (STFT) domain. The propo...
Yekutiel Avargel, Israel Cohen
JMLR
2006
140views more  JMLR 2006»
14 years 9 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
IPPS
2008
IEEE
15 years 4 months ago
Approximating max-min linear programs with local algorithms
Patrik Floréen, Petteri Kaski, Topi Musto, ...