1226 search results - page 60 / 246 » On Conditions for Linearity of Optimal Estimation |
SIAMJO
2010
14 years 8 months ago
2010
A linear matrix inequality (LMI) is a condition stating that a symmetric matrix whose entries are affine linear combinations of variables is positive semidefinite. Motivated by th...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
116
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TSP
2010
14 years 4 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
115
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AUTOMATICA
2011
14 years 4 months ago
2011
We present a framework to solve a finite-time optimal control problem for parabolic partial differential equations (PDEs) with diffusivity-interior actuators, which is motivate...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...