Integrating Random Effects in Deep Neural Networks

Keyphrases

• Random Effects 100%
• Deep Neural Network 100%
• Mixed Models 42%
• Negative Log-likelihood 42%
• Loss Function 28%
• Stochastic Gradient Descent 28%
• Correlated Data 28%
• Performance Improvement 14%
• Modern Approaches 14%
• Performance Prediction 14%
• Spatiotemporal Pattern 14%
• Parameter Estimation 14%
• Supervised Learning 14%
• Correlation Structure 14%
• Tabular Data 14%
• Clustering Structure 14%
• Large-scale Application 14%
• Network Loss 14%
• Spatial Clustering 14%
• Natural Losses 14%

Mathematics

• Random Effect 100%
• Deep Neural Network 100%
• Log Likelihood 42%
• Mixed Model 42%
• Stochastics 28%
• Loss Function 28%
• Gaussian Distribution 14%
• Real Life 14%
• Parameter Estimate 14%
• Correlation Structure 14%
• Predictive Performance 14%