搜索结果: 1-15 共查到“数学 Kernel”相关记录53条 . 查询时间(0.078 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Integral equations with bubble-type kernel via the method of moving spheres
运动球体 气泡型核 积分方程
2023/4/27
In this talk, I will describe a moving sphere approach to a class of integral equations with bubble-type kernel. This class of equations comes from higher-order elliptic equations on the standard sphe...
On self-consistent estimators and kernel density estimators with doubly censored data
Asymptotic normality Failure rate function Right censored data: Survival distribution Uniform strong consistency
2015/12/11
We study the detailed structure (in a large sample) of the self-consistent estimators of the survival functions with doubly censored data. We also introduce the kernel-type density estimators based on...
We prove two-sided estimates of heat kernels on non-parabolic
Riemannian manifolds with ends, assuming that the heat kernel on each end separately
satisfies the Li-Yau estimate.
Résumé. — Nous obte...
Small time heat kernel behavior on Riemannian complexes
Riemannian complexes kernel behavior
2015/8/26
We study how bounds on the local geometry of a Riemannian
polyhedral complex yield uniform local Poincar′e inequalities. These
inequalities have a variety of applications, including bounds on the he...
Learning the kernel via convex optimization
Convex optimization kernel methods machine learning support vector machine
2015/8/10
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel itself from given train...
A NEW PARALLEL KERNEL-INDEPENDENT FAST MULTIPOLE METHOD
Fast multipole methods adaptive algorithms massively parallel computing boundary integral equations N-body problems viscous flows
2015/7/15
We present a new adaptive fast multipole algorithm and its parallel implementation. The algorithm is kernel-independent in the sense that the evaluation of pairwise interactions does not rely on any a...
A kernel-independent adaptive fast multipole algorithm in two and three dimensions
Fast multipole methods Fast solvers Integral equations Single-layer potential Double-layer potential Particle methods N-body problems
2015/7/14
We present a new fast multipole method for particle simulations. The main feature of our algorithm is that it does not require the implementation of multipole expansions of the underlying kernel, and ...
A kernel independent fast multipole algorithm for radial basis functions
Radial basis functions Fast multipole method Kernel independency Multiscale method
2015/7/14
A kernel independent fast multipole algorithm for radial basis functions.
Fast directional algorithms for the Helmholtz kernel
N-body problems Scattering problems Helmholtz equation Oscillatory kernels Fast multipole methods Separated representations Random sampling Operator compression Multidirectional computation Multiscale methods
2015/7/14
This paper presents a new directional multilevel algorithm for solving N-body or N-point problems with highly oscillatory kernels. We address the problem by first proving that the interaction between ...
HORSESHOES IN MULTIDIMENSIONAL SCALING AND KERNEL METHODS
Horseshoe multidimensional scaling the kernel method
2015/7/8
HORSESHOES IN MULTIDIMENSIONAL SCALING AND KERNEL METHODS。
Discrete Kernel Preserving Model for 1D Electron-Optical Phonon Scattering
D Electron-Optical Phonon Scattering Discrete Kernel Preserving Model
2014/9/26
We investigate the discretization of of an electron-optical phonon scattering using
a nite volume method. The discretization is conservative in mass and is essentially
based on an energy point of v...
Gene-centric gene-gene interaction: A model-based kernel machine method
Allele matching kernel association study gene-clustered SNPs genomic similarity reproducing kernel Hilbert space quantitative traits
2012/11/23
Much of the natural variation for a complex trait can be explained by variation in DNA sequence levels. As part of sequence variation, gene-gene interaction has been ubiquitously observed in nature, w...
Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning
Brain Computer Interfaces Functional Near-Infrared Spectroscopy Inter-subject variability Support Vector Machines RKHS
2012/11/23
Functional Near-Infrared spectroscopy (fNIRS) is an emerging non-invasive brain computer interface (BCI) modality that measures changes in haemoglobin concentrations in the cortical tissue. To date mo...
Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions
support vector machine reproducing kernel Banach space reproducing kernel,posi-tive definite function Fourier transform,Sobolev space,Matern function,Sobolev spline
2012/11/22
In this paper we extend support vector machines from reproducing kernel Hilbert spaces into reproducing kernel Banach spaces whose reproducing kernels can be defined on nonsymmetric domains. Using the...
Kernel density estimation via diffusion and the complex exponentials approximation problem
condensed density random matrices parabolic PDE
2012/6/21
A kernel method is proposed to estimate the condensed density of the generalized eigenvalues of pencils of Hankel matrices whose elements have a joint noncentral Gaussian distribution with nonidentica...