Generalized binary vector autoregressive processes

(HS), Hohenheimer Straße (HH), Neckartor (NRT), Stadtgarten (SG) in Stuttgart, Germany from 1 March 2016 to 31 July 2018 wileyonlinelibrary.com/journal/jtsa © 2021 The Authors. J. Time Ser. Anal. 43: 285–311 [...] recorded fine dust alarms at six monitoring stations in the urban area of Stuttgart, Germany from 1 March 2016 to 31 July 2018. The occurrences of alarms tend to cluster, but a closer inspection reveals that the [...] dust alarms at six monitoring stations in Stuttgart, Germany for 886 consecutive days from 1 March 2016 to 31 July 2018. Precisely, with Yt,k, k = 1,… , 6, representing the day-wise mean of the PM10 values …

target oncogenic LIN28, small-molecule inhibitors of the RBP only sporadically have been reported since 2016. Nevertheless, there are several studies which utilized fluorescence-based high-throughput screens [...] upregulation of mature let-7 levels and downregulated expression of let-7 target genes (c-Myc and Ras). In 2016, Lorenz and Ganer established a catalytic enzyme-linked click chemistry assay (cat-ELCCA) to later …

Molecules with Diverse Functional Groups". In: Journal of Chemical Theory and Com- putation 12.12 (2016), pp. 6001{6019.doi : 10.1021/acs.jctc.6b00805 . XX References [23] Mehtap Isk et al. \Overview of [...] jctc.2c00517 . [62] Scott Hartshorn.Machine Learning With Random Forests And Decision Trees. Aug. 2016. [63] Leo Breiman. \Random Forests". In:Machine Learning 45 (1 2001), pp. 5{ 32. issn: 1573-0565.doi [...] uide . [69] Ian Goodfellow, Yoshua Bengio, and Aaron Courville.Deep Learning. The MIT Press, Nov. 2016. [70] Si Zhang et al. \Graph convolutional networks: a comprehensive review". In: Computational Social …

DeepLearning on FPGAs - Introduction to Data Mining

Sebastian Buschjäger Technische Universität Dortmund - Fakultät Informatik - Lehrstuhl 8 October 18, 2016 1 Structure of this course Goals: → Learning the basics of Data Mining → Learning the basics of Deep …

LS 04 Praktische Informatik

Flexible Kommunikation in effizient entwickelten adaptiven vernetzten Dienste- und Gerätesystemen ( 2016 ) Dohndorf, Oliver ; Krumm, Heiko ; Timmermann, Dirk Show more Die fortschreitende Miniaturisierung …

631 8 2 4 5570004 Ahlen, Stadt 11,497 1,523 1,435 2,016 2,165 2,373 1,985 2,958 4,974 6,523 5,907 5,590 1,063 953 3,297 3,226 4,360 4,179 8,539 2,016 6,523 5 3 3 5570008 Beckum, Stadt 7,501 966 949 1,286 [...] 489 8 2 4 5570004 Ahlen, Stadt 11,497 1,523 1,435 2,016 2,165 2,373 1,985 2,958 4,974 6,523 5,907 5,590 1,063 953 3,297 3,226 4,360 4,179 8,539 2,016 6,523 8 2 4 5766008 Bad Salzuflen, Stadt 10,705 1,486 [...] 3 5154016 Goch, Stadt 6,982 969 938 1,182 1,329 1,467 1,097 1,907 3,089 3,893 3,589 3,393 606 576 2,016 1,877 2,622 2,453 5,075 1,182 3,893 6 4 3 5154032 Kevelaer, Stadt 5,941 750 810 1,083 1,114 1,220 …

MSE-optimale Crossover Designs

dieser Arbeit wurden, sofern sie computergestützt durch- geführt wurden, mit R 3.2.4 (R Core Team 2016) (vorrangig Grafiken und Simulationen) und Matlab R2013a (MATLAB 2013) (vorrangig Ableitungen, Ve [...] Interaktionen zwischen den Behandlungen sind Designs optimal, die Behandlungen wiederholen (Druilhet 2016). In Azaïs und Druilhet (1997) zeigen die Autoren, dass zirkuläre nachbarbalancierte Block- designs [...] neighbour balanced designs“. Journal of Statistical Planning and Inference, 81 (1), S. 141–152. – (2016). „Efficient Circular Cross-Over Designs for Models with Interaction“. In: mODa 11 - Advances in …

Application of Rotating Packed Bed for In-line Aroma Stripping from Cell Slurry

noids: current methods, applica- tions and perspectives. Appl Microbiol Biotechnol 100:5703–5718 (2016). 6 Hüsnü K, Baser C and Demirci F, Chemistry of essential oils, in Flavours and Fragrances: Chemistry …

d1139123911393910c9 3130015d005d212135001235342623220727363633321616151407060121 32363637330350fce2016f9d825e9a552536dc9067aa604a65feac01256c 412a22241601b5012e90698b9a0dc0b860a7498589b9feb5122b4500>/ [...] 1559 0.1590 0.1620 0.1651 0.1683 0.1714 0.1746 0.1779 0.1812 0.1845 0.1878 0.1912 0.1946 0.1981 0.2016 0.2051 0.2086 0.2122 0.2159 0.2195 0.2232 0.2270 0.2307 0.2346 0.2384 0.2423 0.2462 0.2502 0.2542 [...] 1559 0.1590 0.1620 0.1651 0.1683 0.1714 0.1746 0.1779 0.1812 0.1845 0.1878 0.1912 0.1946 0.1981 0.2016 0.2051 0.2086 0.2122 0.2159 0.2195 0.2232 0.2270 0.2307 0.2346 0.2384 0.2423 0.2462 0.2502 0.2542 …