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Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems
Tikhonov Regularized Estimators Reproducing Kernel Hilbert Spaces Statistical Inverse Problems
2013/6/13
Regularized kernel methods such as support vector machines (SVM) and support vector regression (SVR) constitute a broad and flexible class of methods which are theoretically well investigated and comm...
Nonlinear functional models for functional responses in reproducing kernel Hilbert spaces
Functional regression models Representer theorem Reproducing kernel Hilbertspace Generalized cross-validation Kernel estimate
2010/4/26
An extension of reproducing kernel Hilbert space (RKHS) theory provides a new
framework for modeling functional regression models with functional responses. The approach
only presumes a general nonl...