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parameter estimation

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Showing 601–650 of 1719 papers

TitleStatusHype
Cramer-Rao Bound Optimization for Active RIS-Empowered ISAC Systems—0
On Computationally Efficient Learning of Exponential Family Distributions—0
Neural lasso: a unifying approach of lasso and neural networks—0
Using Neural Networks for Fast SAR Roughness Estimation of High Resolution ImagesCode0
Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation—0
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation—0
Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning ApproachCode0
Understanding step selection analysis through numerical integration—0
Ten New Benchmarks for Optimization—0
Identifiable specializations for ODE modelsCode0
Likelihood-based inference and forecasting for trawl processes: a stochastic optimization approachCode0
Heterogeneous Multi-Task Gaussian Cox ProcessesCode0
Parametric quantile autoregressive conditional duration models with application to intraday value-at-risk—0
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing—0
A transport approach to sequential simulation-based inference—0
Machine learning in parameter estimation of nonlinear systems—0
Data-driven Identification of Parametric Governing Equations of Dynamical Systems Using the Signed Cumulative Distribution Transform—0
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function ApproachCode0
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification—0
Parameter Estimation-Based States Reconstruction of Uncertain Linear Systems with Overparameterization and Unknown Additive Perturbations—0
Leveraging Intrinsic Properties for Non-Rigid Garment Alignment—0
Extended Target Parameter Estimation and Tracking with an HDA Setup for ISAC Applications—0
On-line Parameter Estimation of the Polarization Curve of a Fuel Cell with Guaranteed Convergence Properties: Theoretical and Experimental Results—0
Near-Field Integrated Sensing and Communication: Performance Analysis and Beamforming Design—0
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees—0
Structured Low-Rank Tensors for Generalized Linear Models—0
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure—0
FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning—0
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation—0
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance—0
Simulation-based Inference for Cardiovascular Models—0
Solution Path of Time-varying Markov Random Fields with Discrete Regularization—0
Beyond Convergence: Identifiability of Machine Learning and Deep Learning Models—0
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data—0
Amortised Experimental Design and Parameter Estimation for User Models of Pointing—0
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency—0
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation—0
Rician likelihood loss for quantitative MRI using self-supervised deep learning—0
On Collaboration in Distributed Parameter Estimation with Resource Constraints—0
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
On IMU preintegration: A nonlinear observer viewpoint and its application—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
Multipath Time-delay Estimation with Impulsive Noise via Bayesian Compressive Sensing—0
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns—0
A physics-constrained machine learning method for mapping gapless land surface temperature—0
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols—0
A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms—0
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone—0
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process RegressionCode0
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