Results 21 to 30 of about 4,460,603 (181)
Factorizations of Kernels and Reproducing Kernel Hilbert Spaces [PDF]
The paper discusses a series of results concerning reproducing kernel Hilbert spaces, related to the factorization of their kernels. In particular, it is proved that for a large class of spaces isometric multipliers are trivial. One also gives for certain spaces conditions for obtaining a particular type of dilation, as well as a classification of ...
Kumari, Rani +3 more
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INFERENCE ON THE REPRODUCING KERNEL HILBERT SPACES
Summary: Learning and interpolation are two extreme variants of the same problem, the object of which is to construct a function which is supposed to reasonably approximate an unknown function of which only a certain number of samples are known.
Agbokou, Komi, Mensah, Yaogan
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Integration in reproducing kernel Hilbert spaces of Gaussian kernels [PDF]
The Gaussian kernel plays a central role in machine learning, uncertainty quantification and scattered data approximation, but has received relatively little attention from a numerical analysis standpoint. The basic problem of finding an algorithm for efficient numerical integration of functions reproduced by Gaussian kernels has ...
Toni Karvonen +2 more
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A Primer on Reproducing Kernel Hilbert Spaces [PDF]
Reproducing kernel Hilbert spaces are elucidated without assuming prior familiarity with Hilbert spaces. Compared with extant pedagogic material,greater care is placed on motivating the definition of reproducing kernel Hilbert spaces and explaining when and why these spaces are efficacious.
Jonathan H. Manton +1 more
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ON THE INCLUSION RELATION OF REPRODUCING KERNEL HILBERT SPACES [PDF]
To help understand various reproducing kernels used in applied sciences, we investigate the inclusion relation of two reproducing kernel Hilbert spaces. Characterizations in terms of feature maps of the corresponding reproducing kernels are established.
Haizhang Zhang, Liang Zhao
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Metamorphosis of images in reproducing kernel Hilbert spaces [PDF]
Metamorphosis is a method for diffeomorphic matching of shapes, with many potential applications for anatomical shape comparison in medical imagery, a problem which is central to the field of computational anatomy. An important tool for the practical application of metamorphosis is a numerical method based on shooting from the initial momentum, as this
Casey L. Richardson, Laurent Younes
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Analytic Kramer kernels, Lagrange-type interpolation series and de Branges spaces [PDF]
The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling formulas. In particular, when the involved kernel is analytic in the sampling parameter it can be stated in an abstract setting of reproducing kernel Hilbert spaces
Hernández-Medina, Miguel A. +7 more
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Radial kernels and their reproducing kernel Hilbert spaces
Let \(R\) be a continuous convex function on a Hilbert space \(H\). In learning theory, \[ A(\lambda):= \inf_{h\in H} \{\lambda\| h\|^2+ R(h)\}- \inf_{h\in H} R(h) \] is called an approximation error function. Here, \(H\) is a reproducing kernel Hilbert space (RKHS) of functions on \(\mathbb{R}^d\), i.e., such that the evaluations \(\delta_x: h\mapsto ...
Clint Scovel +3 more
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A survey of kernel and spectral methods for clustering [PDF]
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 more
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A Survey on Reproducing Kernel Hilbert Spaces [PDF]
Bu tezin içeriği, Matematik, İstatistik ve makine öğrenmesi gibi pek çok alanda önemli bir araç olarak kullanılan doğuran çekirdekli Hilbert uzayları ile ilgili genel bilgilerden oluşmaktadır.
Kaysı, Tuba
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