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pro vyhledávání: '"Tadayon, Manie"'
Autor:
Tadayon, Manie, Pottie, Greg
Educational systems have traditionally been evaluated using cross-sectional studies, namely, examining a pretest, posttest, and single intervention. Although this is a popular approach, it does not model valuable information such as confounding varia
Externí odkaz:
http://arxiv.org/abs/2108.00654
Autor:
Tadayon, Manie, Pottie, Greg
Synthetic data is widely used in various domains. This is because many modern algorithms require lots of data for efficient training, and data collection and labeling usually are a time-consuming process and are prone to errors. Furthermore, some rea
Externí odkaz:
http://arxiv.org/abs/2009.04595
Autor:
Tadayon, Manie, Pottie, Greg
Time series and sequential data have gained significant attention recently since many real-world processes in various domains such as finance, education, biology, and engineering can be modeled as time series. Although many algorithms and methods suc
Externí odkaz:
http://arxiv.org/abs/2008.03825
Autor:
Tadayon, Manie, Iwashita, Yumi
Time series forecasting has gained lots of attention recently; this is because many real-world phenomena can be modeled as time series. The massive volume of data and recent advancements in the processing power of the computers enable researchers to
Externí odkaz:
http://arxiv.org/abs/2001.09547
Autor:
Tadayon, Manie, Pottie, Greg
Contributions: Prior studies on education have mostly followed the model of the cross sectional study, namely, examining the pretest and the posttest scores. This paper shows that students' knowledge throughout the intervention can be estimated by ti
Externí odkaz:
http://arxiv.org/abs/1904.11857
Akademický článek
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Publikováno v:
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Sep2024, Vol. 49 Issue 9, p11925-11941. 17p.
