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[null,"1.","Record Nr.",null,"UNINA9910482482103321"]
[null,null,"Autore",null,"Avicenna <980-1037.>"]
[null,null,"Titolo",null,"Ain Büchlin das durch die natürlichen Maister Aristotilem, Avicennam, Galienum, Albertum unnd andern natürlichen Maistern von mancherlay seltzamen wunderlichen Fragen beschriben unnd der menschlilchen Natur gar nutzlich zu wissen ist, unnd haist Propleumata Aristotiles / [Aristotle] [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Augsburg, : Hans Froschauer, 1514"]
[null,null,"Descrizione fisica",null,"Online resource ([22] leaves : woodcut on t.p. , (4to))"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Reproduction of original in The Wellcome Library, London."]
[null,"2.","Record Nr.",null,"UNINA9910576871103321"]
[null,null,"Autore",null,"Sason Igal"]
[null,null,"Titolo",null,"Divergence Measures : Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (256 p.)"]
[null,null,"Soggetti",null,"Mathematics & science"]
[{"$nulls":4},"Research & information: general"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Data science, information theory, probability theory, statistical learning and other related disciplines greatly benefit from non-negative measures of dissimilarity between pairs of probability measures. These are known as divergence measures, and exploring their mathematical foundations and diverse applications is of significant interest. The present Special Issue, entitled \"Divergence Measures: Mathematical Foundations and Applications in Information-Theoretic and Statistical Problems\", includes eight original contributions, and it is focused on the study of the mathematical properties and applications of classical and generalized divergence measures from an information-theoretic perspective. It mainly deals with two key generalizations of the relative entropy: namely, the R_ényi divergence and the important class of f -divergences. It is our hope that the readers will find interest in this Special Issue, which will stimulate further research in the study of the mathematical foundations and applications of divergence measures."]