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.
%0 Book
%1 SammutWebb2017
%B Springer Reference
%C New York
%D 2017
%E Sammut, Claude
%E Webb, Geoffrey I.
%I Springer
%K 01801 103 springer book general ai algorithm learn
%R 10.1007/978-1-4899-7687-1
%T Encyclopedia of Machine Learning and Data Mining
%X 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.
%7 2
%@ 978-1-4899-7685-7
@book{SammutWebb2017,
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.},
added-at = {2017-10-14T20:20:51.000+0200},
address = {New York},
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description = {1. Auflage 2011},
doi = {10.1007/978-1-4899-7687-1},
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editor = {Sammut, Claude and Webb, Geoffrey I.},
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isbn = {978-1-4899-7685-7},
keywords = {01801 103 springer book general ai algorithm learn},
publisher = {Springer},
series = {Springer Reference},
timestamp = {2018-04-16T12:30:21.000+0200},
title = {Encyclopedia of Machine Learning and Data Mining},
username = {flint63},
year = 2017
}