搜索结果: 1-15 共查到“管理学 kernels”相关记录16条 . 查询时间(0.051 秒)
Linear system identification using stable spline kernels and PLQ penalties
linear system identification bias-variance trade off kernel-based regularization robust statistics interior point methods piecewise linear quadratic densities
2013/4/27
The classical approach to linear system identification is given by parametric Prediction Error Methods (PEM). In this context, model complexity is often unknown so that a model order selection step is...
Let (V,A) be a weighted graph with a finite vertex set V,with a symmetric matrix of nonnegative weightsAand with Laplacian ∆. LetS∗: V ×V 7→ R be a symmetric kernel defined on the vertex s...
Kernels for Vector-Valued Functions: a Review
Kernels for Vector-Valued Functions: a Review
2011/7/6
Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they provide a natural choi...
Reproducing kernels for spaces of zero mean functions. Application to sensitivity analysis
Kernel Methods Global Sensitivity Analysis Sobol-Hoeffding Decomposition
2011/7/6
Given a Reproducing Kernel Hilbert Space (H, h., .i) of real-valued functions and a suitable measure \mu over the source space, we decompose H as sum of a subspace of centered functions for {\mu} and ...
Optimal measures and transition kernels
Optimization and Control (math.OC) Computational Complexity (cs.CC) Information Theory (cs.IT) Mathematical Physics (math-ph) Functional Analysis (math.FA) Machine Learning (stat.ML)
2010/12/17
We study positive measures that are solutions to an abstract optimisation problem, which is a generalisation of a classical variational problem with a constraint on information of a Kullback-Leibler t...
Universality,Characteristic Kernels and RKHS Embedding of Measures
Kernel methods Characteristic kernels Hilbert space embeddings Universalkernels Translation invariant kernels Radial kernels
2010/3/11
A Hilbert space embedding for probability measures has recently been proposed, wherein
any probability measure is represented as a mean element in a reproducing kernel Hilbert
space (RKHS). Such an ...
The aim of the paper is to give a description of linear
kernds of symmetric p-stable measures in terms of Pettis-typeintegral
of some operatom.
Integral representation in the set of transition kernels
Integral representation the set of transition kernels
2009/9/23
Integral representation in the set of transition kernels。
Estimates for the Poisson kernels on homogeneous manifolds of negative curvature and the boundary Harnack inequality in the noncoercive case
Estimates for the Poisson kernels homogeneous manifolds negative curvature the boundary Harnack inequality
2009/9/21
Using a probabilistic technique we obtain upper and
lower estimates for the Poisson kernels of the second order diflerential
operators on a homogeneous manifold of negative curvature. Our
results i...
A remark on the Poisson kernels on homogeneous manifolds of negative curvature
Poisson kernels homogeneous manifolds negative curvature
2009/9/21
In this note we give an improvement of the estimate of
the Poisson kernels for second order differential operators on homogeneous
manifolds of negative curvature obtained for the first time,
using ...
Fill's Algorithm for Absolutely Continuous Stochastically Monotone Kernels
Markov chain Monte Carlo Fill's algorithm perfect sampling exact sampling rejection sampling partially ordered set monotone coupling
2009/4/29
Fill, Machida, Murdoch, and Rosenthal (2000) presented their algorithm and its variants to extend the perfect sampling algorithm of Fill (1998) to chains on continuous state spaces. We consider their ...
Standard stochastic coalescence with sum kernels
Coalescence Stochastic interacting particle systems
2009/4/22
We build a Markovian system of particles entirely characterized by their masses, in which each pair of particles with masses x and y coalesce at rate (approximately) xa+ya, for some a in (0,1), and su...
Standard stochastic coalescence with sum kernels
Markovian system small particles stochastic coalescence
2009/4/1
We build a Markovian system of particles entirely characterized by their masses, in which each pair of particles with masses x and y coalesce at rate (approximately) xa+ya, for some a in (0,1), and su...
Sharp edge，vertex，and mixed Cheeger type inequalities for finite Markov kernels
Sharp edge vertex mixed Cheeger type finite Markov kernels
2009/3/31
We show how the evolving set methodology of Morris and Peres can be used to show Cheeger inequalities for bounding the spectral gap of a finite Markov kernel. This leads to sharp versions of several p...
CDF and Survival Function Estimation with Infinite-Order Kernels
Bandwidth cumulative distribution function deficiency infinite-orderkernels nonparametric estimation survival function
2010/3/18
A reduced-bias nonparametric estimator of the cumulative distribution function
(CDF) and the survival function is proposed using infinite-order kernels. Fourier transform
theory on generalized funct...