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Found 3 papers, 1 papers with code
Consistency of Neural Networks with Regularization
For large scale data, due to the tremendous number of parameters in neural networks, overfitting is an issue in training neural networks.
A Neural Network Based Method with Transfer Learning for Genetic Data Analysis
Transfer learning has emerged as a powerful technique in many application problems, such as computer vision and natural language processing.
Expectile Neural Networks for Genetic Data Analysis of Complex Diseases
Similar to expectile regression, ENN provides a comprehensive view of relationships between genetic variants and disease phenotypes and can be used to discover genetic variants predisposing to sub-populations (e. g., high-risk groups).
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