Titlebook: Vegetation of the Canary Islands; Marcelino J. del Arco Aguilar,Octavio Rodríguez De Book 2018 Springer International Publishing AG, part

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Marcelino J. del Arco Aguilar,Octavio Rodríguez Delgadoprivacy-preserving features make the proposed framework especially suitable when the recommendation service backend is to be outsourced at public cloud for improved service scalability. On the technical front, we first use kernel density estimation to model destination distributions of taxi trips fo

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Marcelino J. del Arco Aguilar,Octavio Rodríguez Delgadoeview series, such as The Physical Review and Solid State Physics; in more specialized publications, such as Journal of Computational Physics, Computer Physics Communications, and Methods in Computational Physics; and in the proceedings of a number of re- 6 9 cent conferences and seminar courses. - Plans for 978-1-4684-1979-5978-1-4684-1977-1

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Marcelino J. del Arco Aguilar,Octavio Rodríguez Delgado which are intimately related to cognitive and statistical modelling [6,7]. These systems combine low-level building blocks, called classifiers, according to broad plausible heuristics, to form emerging high-level knowledge structures. Knowledge is indeed distributed among classifiers, and these are

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Marcelino J. del Arco Aguilar,Octavio Rodríguez Delgadolocal soil quality parameter. The dynamic analysis of the structure is performed by the SARCF-II program of Chung et al. (1987). For each realization of the earthquake process a sample of the damage indicator during the earthquake is obtained by numerical integration of the structural equations of m

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d faithfully represent the scope and quality of the symposium. The remaining two sections are based on the symposium on Computational Polymer Science and Nanotechnology organized by Mark D. Dadmun, Bobby G. Sumpter, and Don W. Noid. A diverse and distinguished group of polymer and materials scientists, bioche978-1-4419-3356-0978-0-306-47110-0

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