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Jul 15, 2019 · We present a new Tikhonov regularization technique for nonlinear independent component estimation that mediates the instability of the algorithm ...
Robust Nonlinear Component Estimation with Tikhonov ... - dblp
136.199.55.186 › corr › abs-1907-06496
Bibliographic details on Robust Nonlinear Component Estimation with Tikhonov Regularization.
Sep 3, 2011 · Abstract. We present a novel approach to nonlinear constrained Tikhonov regularization from the viewpoint of optimization theory.
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This property, referred to as non-negative marginal productivity, is a minimal requirement from the point of view of the axiomatic production theory. Another ...
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Distributionally robust optimization has been shown to offer a principled way to regularize learning models. In this paper, we find that Tikhonov ...
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In this paper we introduce an adaptive regularization scheme based on algorithms for minimization of the Tikhonov functional to reconstruct the solution x† ...
sults in nonlinear analysis. In Section 3, we propose a normal S-iteration ... Robust stochastic ap- proximation approach to stochastic programming ...
Missing: Component Estimation
Tikhonov regularization is a popular approach and it requires an ... to solve the nonlinear inverse problem and dynamically estimates the regularization ...
Here we will show that the minimization of the underlying UPRE function is efficient and robust with respect to the k−term truncated singular value ...
May 14, 2020 · In doing so, the frontier estimation necessitates the computation of a survival function estimator from an ill-posed equation. A Tikhonov ...
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