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Titlebook: Unconventional Computation and Natural Computation; 17th International C Susan Stepney,Sergey Verlan Conference proceedings 2018 Springer I

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Tanner Crowder,Marco Lanzagortase in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical methods. While R now has a great deal of semiparametric regression functionality, many of these developments have not trickled down to rank-and-f
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Henning Fernau,Lakshmanan Kuppusamy,Indhumathi Raman economics and many other fields rely on strong assumptions about functional forms and the distributions of unobserved random variables. Often, it is assumed that functions of interest are linear or that unobserved random variables are normally distributed. Such assumptions simplify estimation and s
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Lee A. Jensen,Lance R. Williamsy This book is an extensively-revised and expanded version of "The Theory of Semirings, with Applicationsin Mathematics and Theoretical Computer Science" [Golan, 1992], first published by Longman. When that book went out of print, it became clear - in light of the significant advances in semiring th
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