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parameter estimation

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Showing 201–250 of 1719 papers

TitleStatusHype
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
Approximating particle-based clustering dynamics by stochastic PDEs—0
Approximations for Optimal Experimental Design in Power System Parameter Estimation—0
A General O(n^2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM—0
A Python library for nonlinear system identification using Multi-Gene Genetic Programming algorithm—0
A Queuing Approach to Parking: Modeling, Verification, and Prediction—0
A reduced-order modeling framework for simulating signatures of faults in a bladed disk—0
An Hybrid Method for the Estimation of the Breast Mechanical Parameters—0
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors—0
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation—0
Are Slepian-Wolf Rates Necessary for Distributed Parameter Estimation?—0
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis—0
ARMAX identification of low rank graphical models—0
A Robust Probabilistic Approach to Stochastic Subspace Identification—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models—0
A sequential approach to calibrate ecosystem models with multiple time series data—0
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions—0
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions—0
A factor graph EM algorithm for inference of kinetic microstates from patch clamp measurements—0
A Simple Unified Framework for High Dimensional Bandit Problems—0
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT—0
A spectral regularisation framework for latent variable models designed for single channel applications—0
Assessing potential insights of an imperfect testing strategy: Parameter estimation and practical identifiability using early COVID-19 data in India—0
Assessment of frequency stability behaviour regarding inertia reduction due to high renewable integration in the Iberian system—0
Asset Price Bubbles: An Option-based Indicator—0
3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network—0
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting—0
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation—0
A Statistical Model of Bursty Mixed Gaussian-impulsive Noise: Model and Parameter Estimation—0
AI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network—0
A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation—0
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data—0
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions—0
A Survey of Monte Carlo Methods for Parameter Estimation—0
Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions—0
Asymptotic and finite-sample properties of estimators based on stochastic gradients—0
A transport approach to sequential simulation-based inference—0
Attention Is All You Need For Blind Room Volume Estimation—0
A tutorial on group effective connectivity analysis, part 2: second level analysis with PEB—0
A Tutorial on Hawkes Processes for Events in Social Media—0
A Tutorial on Linear Least Square Estimation—0
A Tutorial on MIMO-OFDM ISAC: From Far-Field to Near-Field—0
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows—0
A Two-Stage 2D Channel Extrapolation Scheme for TDD 5G NR Systems—0
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
Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation—0
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