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Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation

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Data
Data
 
 
README.md
README.md
 
 
data_temp.py
data_temp.py
 
 
features_correlation_pairplots.py
features_correlation_pairplots.py
 
 
features_importance.py
features_importance.py
 
 
features_low_variance.py
features_low_variance.py
 
 
features_reduction.py
features_reduction.py
 
 
features_selection.py
features_selection.py
 
 
lstm_pretrain_slg.py
lstm_pretrain_slg.py
 
 
lstm_pretrain_xyz.py
lstm_pretrain_xyz.py
 
 
regressor_comparison.py
regressor_comparison.py
 
 
regressor_comparison_pca.py
regressor_comparison_pca.py
 
 
regressor_comparison_slg.py
regressor_comparison_slg.py
 
 
regressor_depth_comparison.py
regressor_depth_comparison.py
 
 
regressor_depth_comparison_plot.py
regressor_depth_comparison_plot.py
 
 

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Random Forest Magnetic Navigation

Codes and data for "Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation" submitted to APL Machine Learning

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Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation

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