© 2015 by the authors; Originally published in Mathematics (ISSN 2227-7390), licensee MDPI
Our work shows that estimating the mean in a feature space induced by certain1 kinds of kernels is t...
A Primer on Reproducing Kernel Hilbert Spaces empowers readers to recognise when and how RKHS theory...
Ce travail porte sur le problème de l'estimation d'un méta-modèle d'un modèle complexe, noté m. Le m...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We define F to be a reproducing kernel Hilbert space on domain X with feature map φ(x) and kernel k(...
This TR contains two brief reviews which will appear in the Proceedings of the 13th IFAC Symposium ...
<p>Reparameterization of the Bayesian RKHS (reproducing kernel Hilbert spaces) and the G-BLUP. Adapt...
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exh...
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exh...
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exh...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
So far... ◮ Introduction to RKHS ◮ RKHS based learning algorithms ◮ Kernel PCA ◮ Kernel regression ◮...
Our work shows that estimating the mean in a feature space induced by certain1 kinds of kernels is t...
A Primer on Reproducing Kernel Hilbert Spaces empowers readers to recognise when and how RKHS theory...
Ce travail porte sur le problème de l'estimation d'un méta-modèle d'un modèle complexe, noté m. Le m...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We define F to be a reproducing kernel Hilbert space on domain X with feature map φ(x) and kernel k(...
This TR contains two brief reviews which will appear in the Proceedings of the 13th IFAC Symposium ...
<p>Reparameterization of the Bayesian RKHS (reproducing kernel Hilbert spaces) and the G-BLUP. Adapt...
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exh...
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exh...
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exh...
Ph.D.MathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue....
PhDMathematicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.li...
So far... ◮ Introduction to RKHS ◮ RKHS based learning algorithms ◮ Kernel PCA ◮ Kernel regression ◮...
Our work shows that estimating the mean in a feature space induced by certain1 kinds of kernels is t...
A Primer on Reproducing Kernel Hilbert Spaces empowers readers to recognise when and how RKHS theory...
Ce travail porte sur le problème de l'estimation d'un méta-modèle d'un modèle complexe, noté m. Le m...