Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing
This collection of eight contributions presents advanced black-box techniques for nonlinear modeling. The methods discussed include neural nets and related mode
For engineering applications that are based on nonlinear phenomena, novel information processing systems require new methodologies and design principles. This p
Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear sys
This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization ne
