Gray-Box Identification for High-Dimensional Manifold Constrained Regression, Report no. LiTH-ISY-R-2896
نویسندگان
چکیده
High-dimensional gray-box identi cation is a fairly unexplored part of system identi cation. Nevertheless, system identi cation problems tend to be more high-dimensional nowadays. In this paper we deal with high-dimensional regression with regressors constrained to some manifold. A recent technique in this class is weight determination by manifold regularization (WDMR). WDMR, however, is a black-box identi cation method. We show how WDMR can be extended to a gray-box method and illustrate the scheme with some examples.
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