Kernel functions

Reproducing kernel Hilbert spaces in probability and statistics

Alain Berlinet, Christine Thomas-Agnan.

Learning with kernels: support vector machines, regularization, optimization, and beyond

Bernhard Schölkopf, Alexander J. Smola.

Kernel Methods for Pattern Analysis

Nello Cristianini, JOHN SHAWE-TAYLOR, John Shawe-Taylor

Advances in kernel methods: support vector learning

edited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola.

Kernel Learning Algorithms for Face Recognition

Jun-Bao Li, Jeng-Shyang Pan, Shu-Chuan Chu

Positive definite kernels, continuous tensor products, and central limit theorems of probability theory

[by] K. R. Parthasarathy [and] K. Schmidt.

Support Vector Machine In Chemistry

Jie Yang, Guozheng Li, Nianyi Chen, Wencong Lu

Data-Variant Kernel Analysis

Wiley, Yuichi Motai

Advances in Large-Margin Classifiers (Neural Information Processing)

Alexander J. Smola

Theory and applications of convolution integral equations

by H.M. Srivastava and R.G. Buschman.