Titlebook: Machine Learning Paradigms; Applications in Reco Aristomenis S. Lampropoulos,George A. Tsihrintzis Book 2015 Springer International Publish

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Aristomenis S. Lampropoulos,George A. Tsihrintzisneral drive and in its specific features and eventual inner tensions...The chapters of the book are the result of intense discussion in the course of an international conference focused on the title question of this book, and were selected in view of their contribution to this topic. They are cluste

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Aristomenis S. Lampropoulos,George A. Tsihrintzisr concern with Leibniz‘s metaphysics of nature. In particular, they revolve about his cos- mology of creation and his conception of the real world as one among infinitely many equipossible alternatives.978-90-277-1253-0978-94-009-8445-5Series ISSN 1566-659X Series E-ISSN 2215-1974

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Introduction, attempt to identify user information needs and to personalize human-computer interactions. (Personalized) Recommender Systems (RS) provide an example of software systems that attempt to address some of the problems caused by information overload. This chapter provides an introduction to Recommender

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Book 2015mplex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and Recommender Systems, as well as for the general reader in the fields of Applied and Computer Science who wishes to learn more about the emerging discipline of Recommender Systems and

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