Large-scale machine learning could prove highly beneficial in the study of earth science, a broad, multidisciplinary field of study that generates huge amounts of data. This book is the first to tackle the subject, covering significant issues in earth science and large-scale machine learning techniq..
This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes recent progress in convex and large-scale opt..
This book discusses various aspects of agent-based modeling and simulation using FLAME (Flexible Large-scale Agent-Based Modeling Environment). Along with a focus on the software engineering principles in building agent-based models, the book comprehensively discusses how models can be written for v..