Encyclopedia of Machine Learning

Encyclopedia of Machine Learning

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This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning 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. The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.Financing health care and planning the medical resources (e.g., for a predicted epi- demia) are yet another important issue. ... which acquires aŠ³time series from minute measurements. e observations at the bedside are entered manually into the system. e ... induces the current practices and their outcome from the health records (Smith, Doctor, Meyer, Kalet aamp; Philips, ). To reect such use of Machine Learning, the bold arrows of the picture would need to be turned the other way around, anbsp;...

Title:Encyclopedia of Machine Learning
Author:Claude Sammut, Geoffrey I. Webb
Publisher:Springer Science & Business Media - 2011-03-28


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