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parameter estimation

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Showing 201–250 of 1719 papers

TitleStatusHype
MCE-based Direct FTC Method for Dynamic Positioning of Underwater Vehicles with Thruster Redundancy—0
A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation—0
Structural and Practical Identifiability of Phenomenological Growth Models for Epidemic Forecasting—0
Safe On-Orbit Dislodging of Deployable Structures via Robust Adaptive MPC—0
Anatomically Guided Motion Correction for Placental IVIM Parameter Estimation with Accelerated Sampling Method—0
Sig2text, a Vision-language model for Non-cooperative Radar Signal ParsingCode0
Identification of non-causal systems with random switching modes (Extended Version)—0
CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data—0
Bayesian Kernel Regression for Functional Data—0
A finite-sample bound for identifying partially observed linear switched systems from a single trajectory—0
A Block-Sparse Bayesian Learning Algorithm with Dictionary Parameter Estimation for Multi-Sensor Data Fusion—0
Simulation-based Bayesian inference under model misspecification—0
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator—0
Neural network-based identification of state-space switching nonlinear systems—0
Target Sensing With Off-grid Sparse Bayesian Learning for AFDM-ISAC System—0
Data-Driven Modeling of Amyloid-beta Targeted Antibodies for Alzheimer's Disease—0
Discriminative versus Generative Approaches to Simulation-based Inference—0
Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks—0
Stochastic Epidemic Models with Partial Information—0
Joint Location and Velocity Estimation and Fundamental CRLB Analysis for Cell-Free MIMO-ISAC—0
Cluster weighted models for functional data—0
Dependency-aware Maximum Likelihood Estimation for Active Learning—0
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation—0
Convergence Rates for Softmax Gating Mixture of Experts—0
Synthesis of Functional Unknown Input Observers for LTV and MIMO LTI Systems with Arbitrary Relative Degree—0
On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm—0
Optimal Power Management for Large-Scale Battery Energy Storage Systems via Bayesian Inference—0
Cellular Automaton With CNNCode0
Optimizing Parameter Estimation for Electrochemical Battery Model: A Comparative Analysis of Operating Profiles on Computational Efficiency and Accuracy—0
Adaptive Input Design for Nonlinear System Identification with Operational Constraints—0
Multi-model Stochastic Particle-based Variational Bayesian Inference for Multiband Delay Estimation—0
Joint Near-Field Sensing and Visibility Region Detection with Extremely Large Aperture Arrays—0
Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data StructuresCode0
Cell-Free Integrated Sensing and Communication: Principles, Advances, and Future Directions—0
RIS-Aided Positioning Under Adverse Conditions: Interference from Unauthorized RIS—0
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding—0
Fitting networks with a cancellation trick—0
Gaussian Process Regression for Improved Underwater Navigation—0
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization—0
Parameter Estimation of the Network of FitzHugh-Nagumo Neurons Based on the Speed-Gradient and Filtering—0
Near-Field Motion Parameter Estimation: A Variational Bayesian Approach—0
Beyond Diagonal RIS for ISAC Network: Statistical Analysis and Network Parameter Estimation—0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies—0
Meta-Statistical Learning: Supervised Learning of Statistical Inference—0
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm—0
Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies—0
A Physics-Informed Deep Learning Model for MRI Brain Motion CorrectionCode0
WENDy for Nonlinear-in-Parameters ODEsCode0
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation—0
Online Covariance Matrix Estimation in Sketched Newton MethodsCode0
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