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parameter estimation

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TitleStatusHype
A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes—0
A Survey of Monte Carlo Methods for Parameter Estimation—0
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions—0
AI-Powered Dynamic Fault Detection and Performance Assessment in Photovoltaic Systems—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data—0
A Stochastic Particle Variational Bayesian Inference Inspired Deep-Unfolding Network for Non-Convex Parameter Estimation—0
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—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
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models—0
A Closed-Form Solution to Tensor Voting: Theory and Applications—0
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation—0
Asset Price Bubbles: An Option-based Indicator—0
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation—0
Adaptive Input Design for Nonlinear System Identification with Operational Constraints—0
Assessment of frequency stability behaviour regarding inertia reduction due to high renewable integration in the Iberian system—0
Assessing potential insights of an imperfect testing strategy: Parameter estimation and practical identifiability using early COVID-19 data in India—0
A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding—0
A spectral regularisation framework for latent variable models designed for single channel applications—0
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT—0
A Hierarchical Probabilistic Model for Facial Feature Detection—0
Adaptive Event-triggered Control For Strict-feedback Systems With Time-varying Parameters—0
Online stochastic gradient descent on non-convex losses from high-dimensional inference—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation—0
A Simple Unified Framework for High Dimensional Bandit Problems—0
Data-driven Modeling for Distribution Grids Under Partial Observability—0
A Simple Modeling Framework For Prediction In The Human Glucose-Insulin System—0
Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning—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
Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows—0
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models—0
Cross-Frame OTFS Parameter Estimation Based On Chinese Remainder Theorem—0
A sequential approach to calibrate ecosystem models with multiple time series data—0
CRB Optimization using a Parametric Scattering Model for Extended Targets in ISAC Systems—0
A Sampling Complexity-aware Framework for Discrete-time Fractional-Order Dynamical System Identification—0
Data-based optimal estimation of frequency bias: The case of Southwest Power Pool—0
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions—0
Cramer-Rao Bound Optimization for Active RIS-Empowered ISAC Systems—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation—0
Data-Driven Modeling of Amyloid-beta Targeted Antibodies for Alzheimer's Disease—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares—0
Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE)—0
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks—0
Data-Free/Data-Sparse Softmax Parameter Estimation with Structured Class Geometries—0
A Robust Probabilistic Approach to Stochastic Subspace Identification—0
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