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parameter estimation

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TitleStatusHype
Performance bounds of adaptive MPC with bounded parameter uncertainties—0
Perfusion parameter estimation using neural networks and data augmentation—0
Persistent Excitation is Unnecessary for On-line Exponential Parameter Estimation: A New Algorithm that Overcomes this Obstacle—0
Persistent homology classifies parameter dependence of patterns in Turing systems—0
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing—0
Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree—0
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Physics-constrained deep neural network method for estimating parameters in a redox flow battery—0
Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems—0
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems—0
Piecewise constant tuning gain based singularity-free MRAC with application to aircraft control systems—0
PINNs-Based Uncertainty Quantification for Transient Stability Analysis—0
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks—0
Plug-and-Play Posterior Sampling for Blind Inverse Problems—0
PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems -- Ultimate boundedness in the presence of measurement noise—0
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification—0
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting—0
Power Adaptation for Vector Parameter Estimation according to Fisher Information based Optimality Criteria—0
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation—0
Predator Prey Scavenger Model using Holling's Functional Response of Type III and Physics-Informed Deep Neural Networks—0
Predicting Failures of Vision Systems—0
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach—0
Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings—0
Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error—0
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