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Titlebook: Leselust in Risikogruppen; Gruppenspezifische W Ursula Maria Stalder Book 2013 Springer Fachmedien Wiesbaden 2013 Heterogenit?t.Kausale Wir

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樓主: 迅速
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發(fā)表于 2025-3-23 12:03:35 | 只看該作者
Ursula Maria Stalderstimations of important features including interactions and variety within a practical computational time and accuracy. The third step is an integrated approach of walk-through from the classification to the feature estimation for proactively preventing the causes of the defect. As the first report,
12#
發(fā)表于 2025-3-23 17:25:06 | 只看該作者
Ursula Maria Staldery of mapping between the depth and intensity of color measurements. Recently, Convolutional Neural Networks (CNN) approaches have demonstrated encouraging outcomes in addressing this challenge. CNN can learn an implicit relationship between color pixels and depth. However, the mechanism and process
13#
發(fā)表于 2025-3-23 21:31:41 | 只看該作者
14#
發(fā)表于 2025-3-24 00:37:12 | 只看該作者
e interfaces, cognitive interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, and designer drugs.. .This volume contai978-3-642-44102-8978-3-642-29977-3Series ISSN 2190-3018 Series E-ISSN 2190-3026
15#
發(fā)表于 2025-3-24 04:47:05 | 只看該作者
Ursula Maria Stalderase-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision makin978-3-662-52097-0978-3-642-22194-1Series ISSN 2190-3018 Series E-ISSN 2190-3026
16#
發(fā)表于 2025-3-24 06:32:41 | 只看該作者
Ursula Maria StalderMulti-criteria decision analysis methods.Knowledge engineering in large-scale systems.High-dimensional data analysis.Spatial data analysis and sparse estimation.Innovative technologies and applications in compu978-981-16-2767-5978-981-16-2765-1Series ISSN 2190-3018 Series E-ISSN 2190-3026
17#
發(fā)表于 2025-3-24 11:44:06 | 只看該作者
ergruppen (soziale Schicht, Migrationshintergrund, Geschlecht) hinsichtlich der Wirkstrukturen zur Erkl?rung der Lesekompetenz unterscheiden. Obwohl die Steigerung der bekannten Faktoren - wie beispielsweise der Lesemotivation - allen Schülerinnen und Schülern zugutekommt, zeichnen sich dennoch deut
18#
發(fā)表于 2025-3-24 16:57:21 | 只看該作者
19#
發(fā)表于 2025-3-24 20:06:14 | 只看該作者
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發(fā)表于 2025-3-24 23:54:14 | 只看該作者
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