In the example below, a new Dropout layer between the input (or visible layer) and the first hidden layer was added. The dropout rate is set to 20%, meaning one in five inputs will be randomly excluded from each update cycle. Additionally, as recommended in the original paper on Dropout...
To avoid such overfitting issue, several techniques have been developed in the classical machine learning regime, and the dropout is one such effective method. This paper proposes a straightforward analogue of this technique in the quantum machine learning regime, the entangling dropout, meaning that ...
The importance and meaning of session behaviour in a MOOC Computers & Education (2020) W. Cheung et al. Multimedia learning system and its effect on self-efficacy in database modeling and design: An exploratory study Computers & Education (2003) H.M. Dai et al. Explaining Chinese university...
Sentences under the same emotion category can express delicate meaning from a fine-grained perspective. For example, we label the sentences portraying the following situations as “Joy”: “playing video games with friends”, “petting the dog with families on the weekend”, and “getting ...
Meta-classifier for Models Combination.Since these models rely on very different data sources, with different scales, batching methods and actual biological meaning, it is not always possible to train an end-to-end backpropagation algorithm combining these. A crucial limitation is the computational po...
Machine learning interatomic potentials (IPs) can provide accuracy close to that of first-principles methods, such as density functional theory (DFT), at a fraction of the computational cost. This greatly extends the scope of accurate molecular simulatio
The results reveal that the proposed approach provides higher statistical accuracy than its benchmarks, meaning that the proposed approach can be used effectively for MOOCs.ahin, MehmetArabian Journal for Science & Engineering (Springer Science & Business Media B.V. )...
1 3 Child & Youth Care Forum (2024) 53:349–365 355 Statistical Analyses Statistical Model Supervised machine learning techniques were used to classify dropout versus did not drop- out. Dropout was modelled as a function of independent variables in a generalized mixed linear model with logit ...
In Maharashtra state where our study is based, only 9.9 years of schooling are completed on average, meaning that most adolescents still do not finish secondary school (Government of Maharashtra, 2014). However, these data are not sex-disaggregated. National Indian government statistics indicate ...
The results reveal that the proposed approach provides higher statistical accuracy than its benchmarks, meaning that the proposed approach can be used effectively for MOOCs.doi:10.1007/s13369-020-05127-9Mehmet ahinSpringer Berlin HeidelbergARABIAN JOURNAL FOR SCIENCE AND ENGINEERING...