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Encyclopedia of Machine Learning

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Welcome to the homepage of Encyclopedia of Machine Learning, a comprehensive reference work from Springer.

Encyclopedia of Machine Learning provides a comprehensive reference to topics in Machine Learning for students and researchers in many fields, including artificial intelligence, robotics, statistics, cognition and pattern recognition. The Encyclopedia includes topics of current interest as well as describes research of historical significance. The focus is on immediate information, accessible to scholars and business professionals.

Information and more details about the extent of this project can be found under Aims & Scope.

We welcome you and look forward to your participation in this exciting project.

Claude Sammut, Geoff Webb

(Editors in Chief)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

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