£44.99
Offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines.
Kernel Methods and Machine Learning
Digital Signal Processing with Kernel Methods
Optimization and Machine Learning
Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Modeling and Optimization of Signals Using Machine Learning Techniques
Introduction to Optimization
Advanced Machine Intelligence and Signal Processing
Machine Learning
Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces
Machine Learning and Optimization for Engineering Design
First-order and Stochastic Optimization Methods for Machine Learning
Kernel Adaptive Filtering