Reproducing kernel hilbert space method

Results 131 to 140 of about 2,360 (218)

Ridge Regression Learning Algorithm in Dual Variables

, 1998
In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by constructing a linear regression function in a high dimensional feature space.
C. Saunders +5 more
core

Quantile regression with an epsilon-insensitive loss in a reproducing kernel Hilbert space

This paper proposes a method to estimate the conditional quantile function using an epsilon-insensitive loss in a reproducing kernel Hilbert space.
Kim, Jeankyung, Park, Jinho
core

Calibration of Option Pricing in Reproducing Kernel Hilbert Space

, 2015
A parameter used in the Black-Scholes equation, volatility, is a measure for variation of the price of a financial instrument over time. Determining volatility is a fundamental issue in the valuation of financial instruments.
Ge, Lei
core

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods. [PDF]

PLoS One
Ding Y, Zhao Y, Pei Y.
europepmc +1 more source

Reproducing kernel Hilbert space method for solving Bratu’s problem

, 2015
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openaire +1 more source

The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]

Sci Rep
Almahdawi MA.
europepmc +1 more source

The reproducing kernel Hilbert space method for solving Troesch’s problem

, 2014
...
openaire +1 more source

An Operator Analysis on Stochastic Differential Equation (SDE)-Based Diffusion Generative Models. [PDF]

Entropy (Basel)
Wu Y, Kawahara Y.
europepmc +1 more source

Effective methods for obtaining good points for quadrature in reproducing kernel Hilbert spaces