Titlebook: Makromolekulare Chemie; Ein Lehrbuch für Che M. D. Lechner,E. H. Nordmeier,K. Gehrke Textbook 20104th edition Birkh?user Basel 2010 Kunstst

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書目名稱Makromolekulare Chemie年度引用學(xué)科排名




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BRINK

M. D. Lechner,E. H. Nordmeier,K. Gehrkeary. Next, it presents an overview of the open-source and proprietary ML algorithms implemented on the GPU, prior to the development of GPUMLib. In addition we focus on the evolution of the GPU from a fixed-function device, designed to accelerate specific tasks, into a general-purpose computing devi

–DOX

M. D. Lechner,E. H. Nordmeier,K. Gehrke parallelizing the models for the development of successful applications for a class of problems lying on the crossroads of several research topics including data sensing, data mining and data visualization. Thus we include a few promising research directions in large-scale machine learning that are

衰老

M. D. Lechner,E. H. Nordmeier,K. Gehrke Furthermore, the NSIM performs better than the state-of-the-art imputation techniques either with higher prevalence ofMVs in a large number of features or with a significant proportion of MVs, while delivering competitive performance in the remaining cases.

EVEN

M. D. Lechner,E. H. Nordmeier,K. Gehrke) algorithm is given. The approach tries to mimic the heuristics that are usually employed for model selection in a stepby- step constructive based error evaluation. Its advantage is to reduce significantly the effort necessary for building NN models. A final experimental section supports the effect

CHURL

M. D. Lechner,E. H. Nordmeier,K. Gehrkeerials for photovoltaic applications. Halide perovskites have been reported to exhibit a power efficiency of 25.5% due to their excellent defect tolerance, high optical absorption, the minimization of recombination, and long carrier diffusion lengths. Furthermore, halide perovskite materials are mor

含糊

M. D. Lechner,E. H. Nordmeier,K. Gehrkeeeded pathway for speeding up the research and investigation of novel materials in order to solve time-sensitive global concerns like climate change. Large datasets have made it possible to build machine learning algorithms for a variety of applications, such as experimental/device optimization and

Autobiography

Definitive

K. Wittstock,S. Meyer,H. Kr?hling,U. Schlotter,S. Cieplikta set. We find that the data is segregated in the latent space according to traditional morphology. However, the observed gradual transition in between over-densities unifies the prevalent classification of GRBs based on their X-ray data into a single continuum, suggesting that light curves of diff

橢圓

Textbook 20104th editiontung von Makromolekülen. Die weiteren Kapitel des Lehrbuchs behandeln die Qualitative Analyse von Makromolekülen, Reaktionen an Makromolekülen einschlie?lich der Alterung und dem Alterungsschutz von Polymeren und die Verwertung von Kunststoffen einschlie?lich der werkstofflichen, rohstofflichen und