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RESEARCH PAPER · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 2020

Bayesian Optimization Objective-Based Experimental Design

Mahdi Imani, Seyede Fatemeh Ghoreishi

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Bayesian Optimization Objective-Based Experimental DesignOriginalAn Advanced Statistical Method for Point Process Modelling With Missing Event Histories2Improved Compact Cuckoo Search Algorithm Applied to Location of Drone Logistics Hub92On Properties of the Bimodal Skew-Normal Distribution and an Application10A Novel Fault Diagnosis Algorithm for Rolling Bearings Based on One-Dimensional Convolutional Neural Network and INPSO-SVM24Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems27Protocol-Based Particle Filtering and Divergence Estimation9Time-variant reliability analysis via approximation of the first-crossing PDF25A novel active learning reliability method combining adaptive Kriging and spherical decomposition-MCS (AK-SDMCS) for small failure probabilities44Bearing Health Monitoring Using Relief-F-Based Feature Relevance Analysis and HMM16Topology optimization of periodic barriers for surface waves41Widespread Reductions of Spontaneous Neurophysiological Activity in Leber’s Disease—An Application of EEG Source Current Density Reconstruction2Long-time coherent integration and motion parameters estimation of radar moving target with unknown entry/departure time based on SAF-WLVT9A novel signal feature extraction technology based on empirical wavelet transform and reverse dispersion entropy65Bifurcation and Nonlinear Behavior Analysis of Dual-Directional Coupled Aerodynamic Bearing Systems6Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation–Maximization Algorithm30Multi-objective constrained Bayesian optimization for structural design77A Novel Conformal Design for Multi-Sensor System Synthesis11Asymmetric Contributions of the Fronto-Parietal Network to Emotional Conflict in the Word–Face Interference Task5Research on feature extraction of ship-radiated noise based on multi-scale reverse dispersion entropy38A comparative study of four nonlinear dynamic methods and their applications in classification of ship-radiated noise20Design and Analysis of Inertial Platform Insulation of the ELI-NP Project of Laser and Gamma Beam Systems9Fluctuation-based reverse dispersion entropy and its applications to signal classification44Active and Compact Entropy Search for High-Dimensional Bayesian Optimization5Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization60Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems20A New Optimal Guidance Law with Impact Time and Angle Constraints Based on Sequential Convex Programming5Second-Order Conic Programming Approach for Wasserstein Distributionally Robust Two-Stage Linear Programs13A new model updating strategy with physics-based and data-driven models22Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design24A unified method based on pseudo-spectrum for track-before-detect of targets with motion model uncertainty8Partially-Observed Discrete Dynamical Systems9Bayesian Optimization in High-Dimensional Spaces: A Brief Survey61Evaluation of the Simultaneous Operation of the Mechanisms for Cross-Border Interchange and Activation of the Regulating Reserves1Two-Stage CBR Based Healthcare Model to Diagnose Liver Disease3Bayesian Optimization for Expensive Smooth-Varying Functions7Dynamic Behavior of the Inertial Platform Related to the Research Facility Building Laser and Gamma at ELI-NP Bucharest1Unravelling cell migration: defining movement from the cell surface106Parameter Learning of Bayesian Network with Multiplicative Synergistic Constraints3BO-Aug: learning data augmentation policies via Bayesian optimization7Bayesian Calibration of Simulation-Based Analysis of Transportation Systems1Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function2Real-Time Drilling Parameter Optimization Model Based on the Constrained Bayesian Method11Deep reinforcement learning for optimal experimental design in biology37A novel learning function of adaptively updating Kriging model for reliability analysis under fuzzy uncertainty5Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks17An Advanced Statistical Method for Point Process Modelling With Missing Event Histories0An Advanced Statistical Method for Point Process Modelling With Missing Event Histories0An active machine learning approach for optimal design of magnesium alloys using Bayesian optimisation31Multi-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selection0Rationalised experiment design for parameter estimation with sensitivity clustering9Single and multi-objective real-time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach24Efficient learning of uncertainty distributions in coupled multidisciplinary systems through sensory data2High dimensional Bayesian optimization for circuit design0Solving Bayesian Inverse Problems Using Gaussian Process Regression with Goal-Oriented Active Learning2Bayesian Optimization for the Synthesis of Generalized State-Feedback Controllers in Underactuated Systems0Optimal experimental design using eigenvalue-based criteria with Pyomo.DoE0Optimization of rice husk ash dosage rate in sustainable concrete utilizing machine learning and bayesian techniques0

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  1. An Advanced Statistical Method for Point Process Modelling With Missing Event Histories

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  2. Improved Compact Cuckoo Search Algorithm Applied to Location of Drone Logistics Hub

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  3. On Properties of the Bimodal Skew-Normal Distribution and an Application

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  4. A Novel Fault Diagnosis Algorithm for Rolling Bearings Based on One-Dimensional Convolutional Neural Network and INPSO-SVM

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  5. Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems

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  6. Protocol-Based Particle Filtering and Divergence Estimation

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  7. Time-variant reliability analysis via approximation of the first-crossing PDF

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  8. A novel active learning reliability method combining adaptive Kriging and spherical decomposition-MCS (AK-SDMCS) for small failure probabilities

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  9. Bearing Health Monitoring Using Relief-F-Based Feature Relevance Analysis and HMM

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  10. Topology optimization of periodic barriers for surface waves

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  11. Widespread Reductions of Spontaneous Neurophysiological Activity in Leber’s Disease—An Application of EEG Source Current Density Reconstruction

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  12. Long-time coherent integration and motion parameters estimation of radar moving target with unknown entry/departure time based on SAF-WLVT

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  13. A novel signal feature extraction technology based on empirical wavelet transform and reverse dispersion entropy

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  14. Bifurcation and Nonlinear Behavior Analysis of Dual-Directional Coupled Aerodynamic Bearing Systems

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  15. Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation–Maximization Algorithm

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  16. Multi-objective constrained Bayesian optimization for structural design

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  17. A Novel Conformal Design for Multi-Sensor System Synthesis

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  18. Asymmetric Contributions of the Fronto-Parietal Network to Emotional Conflict in the Word–Face Interference Task

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  19. Research on feature extraction of ship-radiated noise based on multi-scale reverse dispersion entropy

    Applied Acoustics · 2020-11-01

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  20. A comparative study of four nonlinear dynamic methods and their applications in classification of ship-radiated noise

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  21. Design and Analysis of Inertial Platform Insulation of the ELI-NP Project of Laser and Gamma Beam Systems

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    Călin Itu, Polidor Bratu, Paul Nicolae Borza, Sorin Vlase, Dorin Lixăndroiu

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  22. Fluctuation-based reverse dispersion entropy and its applications to signal classification

    Applied Acoustics · 2020-12-24

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  23. Active and Compact Entropy Search for High-Dimensional Bayesian Optimization

    IEEE Transactions on Knowledge and Data Engineering · 2021-01-01

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  24. Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization

    IEEE Transactions on Neural Networks and Learning Systems · 2021-01-22

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  25. Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems

    Journal of Computing and Information Science in Engineering · 2021-01-29

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  26. A New Optimal Guidance Law with Impact Time and Angle Constraints Based on Sequential Convex Programming

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  27. Second-Order Conic Programming Approach for Wasserstein Distributionally Robust Two-Stage Linear Programs

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  28. A new model updating strategy with physics-based and data-driven models

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  29. Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design

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  30. A unified method based on pseudo-spectrum for track-before-detect of targets with motion model uncertainty

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  31. Partially-Observed Discrete Dynamical Systems

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  32. Bayesian Optimization in High-Dimensional Spaces: A Brief Survey

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  34. Two-Stage CBR Based Healthcare Model to Diagnose Liver Disease

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  36. Dynamic Behavior of the Inertial Platform Related to the Research Facility Building Laser and Gamma at ELI-NP Bucharest

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  38. Parameter Learning of Bayesian Network with Multiplicative Synergistic Constraints

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  39. BO-Aug: learning data augmentation policies via Bayesian optimization

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  40. Bayesian Calibration of Simulation-Based Analysis of Transportation Systems

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  41. Active Learning Strategy for Surrogate-Based Quantile Estimation of Field Function

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  43. Deep reinforcement learning for optimal experimental design in biology

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  44. A novel learning function of adaptively updating Kriging model for reliability analysis under fuzzy uncertainty

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  45. Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks

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  46. An Advanced Statistical Method for Point Process Modelling With Missing Event Histories

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  47. An Advanced Statistical Method for Point Process Modelling With Missing Event Histories

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  48. An active machine learning approach for optimal design of magnesium alloys using Bayesian optimisation

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  49. Multi-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selection

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  50. Rationalised experiment design for parameter estimation with sensitivity clustering

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