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