Encyclopedia of Machine Learning
Springer Reference Springer, New York, (2011)DOI: 10.1007/978-0-387-30164-8
Abstract
This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the several hundred entries in this pre-eminent work include useful literature references, providing the reader with a portal to more detailed information on any given topic. Topics were selected by a distinguished international advisory board. Each peer-reviewed, highly-structured entry includes a definition, key words, an illustration, applications, a bibliography, and links to related literature. The style of the entries is expository and tutorial. This makes the book a practical resource for high-performance computing experts, as well as professionals in other fields, who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest.