Heat kernel bounds for complex time and Schrdinger Kernel on hyperbolic spaces and Kleinian groupsdoi:10.1017/s0305004112000035N. MandouvalosCambridge University PressMathematical Proceedings of the Cambridge Philosophical Society
The main characteristic of Kernel Methods, however, is their distinct approach to this problem. Kernel methods map the data into higher dimensional spaces in the hope that in this higher-dimensional space the data could become more easily separated or better structured. There are also no constraint...
The relevant spaces on the exterior disk D∗ and the upper half-plane U can be defined by replacing the hyperbolic density 1/(1−|z|2) on D with that on D∗ and U. It is well known that a quasiconformal homeomorphism of D onto itself induces a biholomorphic automorphism of the ...
Chambers, A novel robust Rauch–Tung–Striebel smoother based on slash and generalized hyperbolic skew Student’s t-distributions, in Proceedings of the 21st International Conference on Information Fusion (2018). https://doi.org/10.23919/ICIF.2018.8455256 S. Julier, J. Uhlmann, A new extension ...
Nystrm kernel algorithm based on least logarithmic hyperbolic cosine loss Kernel adaptive filters(KAFs)have sparked substantial attraction for online non-linear learning applications.It is noted that the effectiveness of KAFs is ... SJ Tang,Y Tang,XF Li,... - 电子科技学刊:英文版 被引量: 0发...
CONVERGENCEOFUNSYMMETRICKERNEL–BASED MESHLESSCOLLOCATIONMETHODS ROBERTSCHABACK ∗ Abstract.Thispaperprovesconvergenceofvariationsoftheunsymmetrickernel-basedcollo- cationmethodintroducedbyE.Kansain1986.Sincethen,thismethodhasbeenverysuccessfully usedinmanyapplications,thoughitmaytheoreticallyfailinspecialsituations,andthou...
We introduce new reproducing kernel Hilbert spaces on a trapezoidal semi-infinite domain $B_{\\infty}$ in the plane. We establish uniform approximation results in terms of the number of nodes on compact subsets of $B_{\\infty}$ for solutions to nonhomogeneous hyperbolic partial differential ...
Reproducing kernel Kre菒n spaces are used in learning from data via kernel methods when the kernel is indefinite. In this paper, a characterization of a subset of the unit ball in such spaces is provided. Conditions are given, under which upper bounds on the estimation error and the ...
Poisson kernel and Green function of the ball in real hyperbolic spaces - Byczkowski, Malecki () Citation Context ...ons in the risk theory in financial mathematics, see [12] and [21]. Also there is a connection with the Brownian motion in hyperbolic halfspaces (see e.g. [21], [3]...
In this note, we prove a theorem à la Fatou for the square root of Poisson Kernel in the context of quasi-convex cocompact discrete groups of isometries of $$\\delta $$δ-hyperbolic spaces. As a corolladoi:10.1007/s12220-017-9820-5Adrien Boyer...