Support Vector Machine Introduction (English Version) (English Version)

Author: (USA) Cristianini
Publisher:
Publish Date: 2005-07-01
Features: Support Vector Machine (SVM) is a new generation of learning systems built on the latest advances in statistical theory. This book is a comprehensive introduction to Support Vector Machines. SVMs were proposed in the early 1990s, followed by widespread applications and in-depth theoretical analysis of this technology. To date, in several practical applications (such as text categorization, handwritten character recognition, image classification, and biological phylogenetic chain analysis, etc.), Support Vector Machines have proven to provide the best learning performance and have been established as a standard tool in machine learning and data mining. Students will find this book not only inspiring but also easy to understand; for professionals, it guides them effortlessly in acquiring the materials needed to master the theory and its applications. The book introduces various concepts in a step-by-step, self-contained, and easily digestible manner, with rigorous and thorough explanations. The references provided and the downloadable software websites will serve as starting points for readers to further their learning. Similarly, the book and its related website will guide professionals in staying updated with the latest literature, new applications, and online software.