Lectures on the nearest neighbor method [Documento eletrónico] / Gérard Biau, Luc Devroye
Language: eng.Country: Switzerland, Swiss Confederation.Publication: Cham : Springer International Publishing, 2015Description: IX, 290 p. : il.ISBN: 978-3-319-25388-6.Series: Springer Series in the Data SciencesSubject - Topical Name: Distribuição (Teoria das probabilidades) | Estatística matemática Online Resources:Click here to access online| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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| E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA273.SPR FCT 96423 (Browse shelf(Opens below)) | 1 | Available |
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This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal). .
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