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[null,"1.","Record Nr.",null,"UNINA9910300246703321"]
[null,null,"Autore",null,"Biau Gérard"]
[null,null,"Titolo",null,"Lectures on the Nearest Neighbor Method / / by Gérard Biau, Luc Devroye"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-25388-3"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"IX, 290 p. ; : il. en col"]
[null,null,"Collana",null,"Springer Series in the Data Sciences, , 2365-5674"]
[null,null,"Disciplina",null,"510"]
[null,null,"Soggetti",null,"Probabilities"]
[{"$nulls":4},"Pattern perception"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Probability Theory and Stochastic Processes"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Statistics and Computing/Statistics Programs"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","MSC 68Wxx ; 60Exx ; 62Exx ; 68T10"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Part I: Density Estimation -- Order Statistics and Nearest Neighbors -- The Expected Nearest Neighbor Distance -- The k-nearest Neighbor Density Estimate -- Uniform Consistency -- Weighted k-nearest neighbor density estimates.- Local Behavior -- Entropy Estimation -- Part II: Regression Estimation -- The Nearest Neighbor Regression Function Estimate -- The 1-nearest Neighbor Regression Function Estimate -- LP-consistency and Stone's Theorem -- Pointwise Consistency -- Uniform Consistency -- Advanced Properties of Uniform Order Statistics -- Rates of Convergence -- Regression: The Noisless Case -- The Choice of a Nearest Neighbor Estimate -- Part III: Supervised Classification -- Basics of Classification -- The 1-nearest Neighbor Classification Rule -- The Nearest Neighbor Classification Rule. Appendix -- Index."]
[null,null,null,"Sommario/riassunto","This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at "]
[{"$nulls":4},"McGill University (Montreal).   ."]