Titlebook: Leading and Managing e-Learning; What the e-Learning Anthony A. Pi?a,Victoria L. Lowell,Bruce R. Harris Book 2018 Association for Educatio

Judicious

Robert L. Moore,Brian P. Fodreyther diseases. We show that our ontological approach results in models whose performance is not only good but also stable on lexically divergent data versus a word-level lookup unigram, bag of words baseline approach. We also show that word vectors can be learned directly from our concepts to achiev

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Anthony A. Pi?astribution of fitness values from independent simulation runs. What is more, in terms of best solution found, the proposed hybrid scheme yielded a solution that is 7.2% worst than the benchmark approach’s one. However, in terms of execution time, the proposed algorithm was faster. Taking into consid

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Christi Boggs,Meg Van Baalen-WoodMean Squared Error and the Mean Absolute Error are used. Both metrics determine that the Seasonal and Trend Decomposition using Loess no periodic, and the Convolutional Neural Networks, are the techniques which obtain the best predictive results. This is the first time that the mentioned data are in

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Mary Kickham-Samy PhD, MLIS, MA,Sandra C. McCarthy MSLS, MAons were performed for the training and posterior testing of the networks. This new CNN reconstructor is compared with the previous models of neural networks in tests varying the altitude of the turbulence layer and the strength of the turbulent profiles. The CNN reconstructor shows promising improv

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Granular

Olga Belikov,Royce Kimmonsthe FCBF, Best First (BF) and Sequential Forward Selection (SFS) and tested on both synthetic and real-world datasets. Results show that the inclusion of interactions among features in a subset may yield smaller subsets of features without degrading the classification task.

殖民地

Cheryl A. Murphynt of the CBR theoretical basis, the predicates` attributes were normalized to the interval 0…1, and the extensions of the predicates that match the universe of discourse were rewritten, and set not only in terms of an evaluation of its Quality-of-Information (QoI), but also in terms of an assessmen

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Lauren Cifuentes,Rinki Suryavanshi,Alexandra Janneyd automatically exploiting different combinations of data cleaning and preprocessing techniques is possible and highly beneficial for different predictive models. This can have a big impact on high quality predictive models development, maintenance and scalability aspects needed in modern applicatio

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