Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning
Mediterranean Conference on Control and Automation（2024）
Key words
Machine Learning,Model Selection,Selection Method,Nonlinear Systems,Model Selection Method,Design For Nonlinear Systems,Interpretable Machine Learning,Data Model,Complex Models,Modeling Framework,Model Uncertainty,Data-driven Models,Prediction Model,Neural Network,Model Performance,Maximum And Minimum,Akaike Information Criterion,Set Of Models,Bayesian Information Criterion,Recurrent Neural Network,Model Selection Criteria,Space Weather,Uncertainty Quantification,Strong Uncertainty,Akaike Information Criterion Criteria,Uncertainty Analysis,Noise Sequence,Prediction Intervals,Output Variables,Sum Of Squares
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined