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parameter estimation

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TitleStatusHype
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals—0
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems—0
A Unified Approach to Differentially Private Bayes Point Estimation—0
A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting—0
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO—0
Autoencoding Labeled Interpolator, Inferring Parameters From Image, And Image From Parameters—0
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics—0
Automatic Radar Signal Detection and FFT Estimation using Deep Learning—0
Autonomous Emergency Braking With Driver-In-The-Loop: Torque Vectoring for Active Learning—0
AutoPINN: When AutoML Meets Physics-Informed Neural Networks—0
Autoregressive models for biomedical signal processing—0
AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration—0
A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies—0
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting—0
A Weighted Hankel Approach and Cramér-Rao Bound Analysis for Quantitative Acoustic Microscopy Imaging—0
Awkt: A Physicochemical Parameter Estimation Tool for Capillary Zone Electrophoresis—0
Balance-Subsampled Stable Prediction—0
Barankin-Type Bound for Constrained Parameter Estimation—0
Basic Thresholding Classification—0
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator—0
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes—0
Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation—0
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory—0
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
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