Adaptive Algorithms in the Reproducing Kernel Hilbert Space
Outline
Chapter 5. Maximum Correntropy Criterion–Based Kernel Adaptive Filters
Chapter 6. Kernel Subspace Learning for Pattern Classification
Chapter 7. A Random Fourier Features Perspective of KAFs With Application to Distributed Learning Over Networks
Chapter 8. Kernel-Based Inference of Functions Over Graphs