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parameter estimation

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Showing 451–475 of 1719 papers

TitleStatusHype
Joint Channel, Data, and Radar Parameter Estimation for AFDM Systems in Doubly-Dispersive Channels—0
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning—0
Variational Signal Separation for Automotive Radar Interference Mitigation—0
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI—0
Modeling for Non-exponential Production Systems Using Parts Flow Data: Model Parameter Estimation and Performance Analysis—0
Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes—0
Uncertainty Distribution Assessment of Jiles-Atherton Parameter Estimation for Inrush Current Studies—0
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls—0
Near-Field Channel Characterization for Mid-band ELAA Systems: Sounding, Parameter Estimation, and Modeling—0
Communications under Bursty Mixed Gaussian-impulsive Noise: Demodulation and Performance Analysis—0
Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process—0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging—0
Merging Parameter Estimation and Classification Using LASSO—0
Learning minimal volume uncertainty ellipsoidsCode0
Online Policy Learning and Inference by Matrix Completion—0
Estimating the Number of Components in Finite Mixture Models via Variational Approximation—0
Comparative Analysis of Information Theoretic and Statistical Methods for Line Parameter Estimation—0
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data—0
Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand—0
A Fourier Approach to the Parameter Estimation Problem for One-dimensional Gaussian Mixture Models—0
A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process—0
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares—0
Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication—0
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation—0
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