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parameter estimation

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TitleStatusHype
Online Parameter Estimation using Physics-Informed Deep Learning for Vehicle Stability Algorithms—0
Online Policy Learning and Inference by Matrix Completion—0
Online power system parameter estimation and optimal operation—0
Online Simultaneous State and Parameter Estimation for Second-order Nonlinear Systems—0
On Parameter Estimation in Deviated Gaussian Mixture of Experts—0
On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints—0
On Pareto Optimality for the Multinomial Logistic Bandit—0
On Semiparametric Exponential Family Graphical Models—0
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models—0
On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach—0
On Statistical Optimality of Variational Bayes—0
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions—0
On the consistency of inversion-free parameter estimation for Gaussian random fields—0
On the Convergence of Coordinate Ascent Variational Inference—0
On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm—0
On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)—0
On the Impact of Sampling on Deep Sequential State Estimation—0
On the Information in Extreme Measurements for Parameter Estimation—0
On the Minimax Misclassification Ratio of Hypergraph Community Detection—0
On the Parameter Combinations That Matter and on Those That do Not—0
On the Parameter Estimation in the Schwartz-Smiths Two-Factor Model—0
On the Parameter Estimation of Sinusoidal Models for Speech and Audio Signals—0
On the parametrization of epidemiologic models -- lessons from modelling COVID-19 epidemic—0
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions—0
On the Role of Asymptomatic Carriers in Epidemic Spread Processes—0
On the safe use of prior densities for Bayesian model selection—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
Open DNN Box by Power Side-Channel Attack—0
Opening Articulated Structures in the Real World—0
Open-loop contraction design—0
Optimal Clustering under Uncertainty—0
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning—0
Optimal Event Monitoring through Internet Mashup over Multivariate Time Series—0
Optimal Experiment Design for AC Power Systems Admittance Estimation—0
Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions—0
Optimality guarantees for distributed statistical estimation—0
Optimality of variational inference for stochasticblock model with missing links—0
Optimal Learning of Mallows Block Model—0
Optimal Low-Depth Quantum Signal-Processing Phase Estimation—0
Optimal Model Averaging: Towards Personalized Collaborative Learning—0
Optimal Power Management for Large-Scale Battery Energy Storage Systems via Bayesian Inference—0
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning—0
Optimal Tracking Control for Unknown Linear Systems with Finite-Time Parameter Estimation—0
Optimal Transport for Correctional Learning—0
Optimizing Parameter Estimation for Electrochemical Battery Model: A Comparative Analysis of Operating Profiles on Computational Efficiency and Accuracy—0
O-type Stars Stellar Parameter Estimation Using Recurrent Neural Networks—0
Out-of-equlibrium inference of feeding rates through population data from generic consumer-resource stochastic dynamics—0
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation—0
Oxygen, Angiogenesis, Cancer and Immune Interplay in Breast Tumor Micro-Environment: A Computational Investigation—0
PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games—0
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