Titlebook: Lesebarrieren in einem inklusiven Mathematikunterricht überwinden; Ergebnisse einer qua Anna Noll Book 2020 Springer Fachmedien Wiesbaden G

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書目名稱Lesebarrieren in einem inklusiven Mathematikunterricht überwinden影響因子(影響力)




書目名稱Lesebarrieren in einem inklusiven Mathematikunterricht überwinden影響因子(影響力)學(xué)科排名




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書目名稱Lesebarrieren in einem inklusiven Mathematikunterricht überwinden網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Lesebarrieren in einem inklusiven Mathematikunterricht überwinden年度引用學(xué)科排名




書目名稱Lesebarrieren in einem inklusiven Mathematikunterricht überwinden讀者反饋




書目名稱Lesebarrieren in einem inklusiven Mathematikunterricht überwinden讀者反饋學(xué)科排名

arbovirus

Anna Nollthe risk score index provided by logistic regression is expressed in a form that most naturally integrates with clinical reasoning. The reason for this is that it gives a statistical assessment of the weight of evidence for making the diagnosis, so providing a direction for future research to improv

peritonitis

Anna Noll as healthy tissue or blood. The second method consisted in applying deep learning techniques, concretely convolutional neural networks, capable of extracting the relevant features of the image by themselves. The best results (95.7% sensitivity and 92.3% specificity) were obtained for a Random Fores

啞劇

Anna Nollts with ages between 9 and 10 years old. The preliminary results show that the average overall difference between the two techniques (Artificial Neural Networks and CHAEA-Junior) is 4.13%. Finally, we conclude that video games can be fun and suitable tools for an accurate prediction of learning styl

municipality

Anna Nollperformers from a randomly chosen parameter set. Our experiments are conducted on datasets from the recently expanded UCR time series archive. We demonstrate the usability improvements to randomised BOSS with a case study using a large whale acoustics dataset for which BOSS proved infeasible.

Amenable

Anna Nolld proposed in this paper outperformed multiple 2D CNNs with decision fusion by a large margin in terms of classification accuracy (by up to 13%) on the AFEW 7.0 dataset for video classification. It is also very fast, up to ten times faster than the commonly used 2D CNN architectures for video classi

半圓鑿

Fraudulent

Epidural-Space

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