Theory that aims to account for differences in individuals' learning.
1This includes the application of cutting-edge machine learning methods to image data.
2It encourages learning methods that offend the most basic principles of pedagogy.
3These results show that our proposed deep learning methods outperform the state-of-the-art methods.
4We aimed at elaborating a prediction tool using machine learning methods.
5Three supervised machine learning methods were employed to construct classifiers.
6Conclusion: Large scale machine learning methods are well-suited for gene prediction in metagenomic DNA fragments.
7Among several machine learning methods we chose artificial Neural Networks (NN).
8He said it could be a spin-off effect from more classrooms turning to flexible- learning methods.
9Exploratory analyses will examine additional potential treatment moderators and use data reduction and machine learning methods.
10Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology.
11It is a determinant of the learning methods teachers use and students experience in the classroom.
12The weights are usually determined by machine learning methods (often described as "artificial intelligence").
13Background: With the recent advances in computational science, machine- learning methods have been increasingly used in medical research.
14We aim to provide an overview of two common machine learning methods: decision tree and random forest.
15Analysis: How can novel statistical and machine learning methods enhance the preventive and predictive capacity of countering cybercrime?
16Methods: To overcome this problem, we treat zeros as missing values and develop nonparametric deep learning methods for imputation.
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Translations for learning methods