Package org.drip.learning.kernel

Class HilbertSupremumKernelSpace

java.lang.Object

org.drip.learning.kernel.HilbertSupremumKernelSpace

public class HilbertSupremumKernelSpace
extends java.lang.Object

HilbertSupremumKernelSpace contains the Space of Kernels S that are a Transform from the R^d L₂ Hilbert To R^m L_Infinity Supremum Banach Spaces.

The References are:

• Carl, B. (1985): Inequalities of the Bernstein-Jackson type and the Degree of Compactness of Operator in Banach Spaces Annals of the Fourier Institute 35 (3) 79-118
• Carl, B., and I. Stephani (1990): Entropy, Compactness, and Approximation of Operators Cambridge University Press Cambridge UK
• Williamson, R. C., A. J. Smola, and B. Scholkopf (2000): Entropy Numbers of Linear Function Classes, in: Proceedings of the 13th Annual Conference on Computational Learning Theory ACM New York

• Module = Computational Core Module
• Library = Statistical Learning
• Project = Agnostic Learning Bounds under Empirical Loss Minimization Schemes
• Package = Statistical Learning Banach Mercer Kernels

Author:

Lakshmi Krishnamurthy

Constructor Summary

Constructors

Constructor	Description
HilbertSupremumKernelSpace()

Method Summary

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

HilbertSupremumKernelSpace

public HilbertSupremumKernelSpace()