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parameter estimation

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Showing 951–1000 of 1719 papers

TitleStatusHype
Optimality of variational inference for stochasticblock model with missing links—0
How to quantify fields or textures? A guide to the scattering transform—0
China's Easily Overlooked Monetary Transmission Mechanism: Monetary ReservoirCode0
Robust Adaptive Safety-Critical Control for Unknown Systems with Finite-Time Element-Wise Parameter Estimation—0
Optimal Tracking Control for Unknown Linear Systems with Finite-Time Parameter Estimation—0
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataCode0
Non-parametric model-based estimation of the effective reproduction number for SARS-CoV-2—0
GAETS: A Graph Autoencoder Time Series Approach Towards Battery Parameter Estimation—0
Performance bounds of adaptive MPC with bounded parameter uncertainties—0
Fault Diagnosis of Nonlinear Systems Using a Hybrid-Degree Dual Cubature-based Estimation Scheme—0
Exponential GARCH-Ito Volatility Models—0
Adaptive observers for biophysical neuronal circuitsCode0
Bayesian Optimal Experimental Design for Simulator Models of Cognition—0
A Computationally Efficient Method for Learning Exponential Family Distributions—0
Locally Differentially Private Bayesian Inference—0
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data—0
IRS-Aided Radar: Enhanced Target Parameter Estimation via Intelligent Reflecting Surfaces—0
Optimal Model Averaging: Towards Personalized Collaborative Learning—0
An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation—0
On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints—0
Ambiguities in Direction-of-Arrival Estimation with Linear Arrays—0
Introduction to data assimilation for parameter estimation—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excessCode0
On the Parameter Combinations That Matter and on Those That do Not—0
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models—0
Method to Build Equivalent Models of Microgrids for RMS Dynamic Simulation of Power Systems—0
Generalized Time Domain Velocity Vector—0
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers—0
SWAT Watershed Model Calibration using Deep Learning—0
Psychological dimension of adaptive trading in cryptocurrency markets—0
On the parametrization of epidemiologic models -- lessons from modelling COVID-19 epidemic—0
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor AnalysisCode0
Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspectiveCode0
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys—0
Differentiable Physics: A Position Piece—0
Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE)—0
Vision-based system identification and 3D keypoint discovery using dynamics constraints—0
Popularity Adjusted Block Models are Generalized Random Dot Product GraphsCode0
AdjointNet: Constraining machine learning models with physics-based codes—0
Combining data assimilation and machine learning to estimate parameters of a convective-scale model—0
Online Learning of Independent Cascade Models with Node-level Feedback—0
Large-Scale System Identification Using a Randomized SVD—0
Fully Non-Homogeneous Atmospheric Scattering Modeling with Convolutional Neural Networks for Single Image Dehazing—0
Composite Adaptive Control for Anti-Unwinding Attitude Maneuvers: An Exponential Stability Result Without Persistent Excitation—0
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition—0
Identifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control—0
Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to RankCode0
Data-driven Modeling for Distribution Grids Under Partial Observability—0
Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions—0
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