Secure personalized recommendation system for mobile user
ICISC'10 Proceedings of the 13th international conference on Information security and cryptology
Semi-automatically extracting FAQs to improve accessibility of software development knowledge
Proceedings of the 34th International Conference on Software Engineering
A novel method for retinal vessel tracking using particle filters
Computers in Biology and Medicine
Learning ensemble classifiers via restricted Boltzmann machines
Pattern Recognition Letters
Review: A review of novelty detection
Signal Processing
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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.