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parameter estimation

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Showing 401–450 of 1719 papers

TitleStatusHype
Constrained Ellipse Fitting for Efficient Parameter Mapping with Phase-cycled bSSFP MRI—0
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models—0
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
Context-specific independence in graphical log-linear models—0
Example-based Color Transfer with Gaussian Mixture Modeling—0
Continuous Target-free Extrinsic Calibration of a Multi-Sensor System from a Sequence of Static Viewpoints—0
Continuous Time Particle Filtering for fMRI—0
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation—0
Approximations for Optimal Experimental Design in Power System Parameter Estimation—0
Contrastive Representation Learning for Acoustic Parameter Estimation—0
Control of SIR Epidemics: Sacrificing Optimality for Feasibility—0
Control-Oriented Modelling and Adaptive Parameter Estimation for Hybrid Wind-Wave Energy Systems—0
Convergence Rates for Gaussian Mixtures of Experts—0
Convergence Rates for Softmax Gating Mixture of Experts—0
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition—0
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions—0
Convex Parameter Recovery for Interacting Marked Processes—0
Bayesian Parameter Estimations for Grey System Models in Online Traffic Speed Predictions—0
Convolutional method for data assimilation An improved method on neuronal electrophysiological data—0
A Block-Sparse Bayesian Learning Algorithm with Dictionary Parameter Estimation for Multi-Sensor Data Fusion—0
Cooperative ISAC-empowered Low-Altitude Economy—0
Bayesian parameter estimation of miss-specified models—0
Copula-Based Density Estimation Models for Multivariate Zero-Inflated Continuous Data—0
Are Slepian-Wolf Rates Necessary for Distributed Parameter Estimation?—0
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods—0
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis—0
An alternative approach for distributed parameter estimation under Gaussian settings—0
Covariance-engaged Classification of Sets via Linear Programming—0
Covert Communications through Imperfect Cancellation—0
CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks—0
Cramer-Rao Bound for Estimation After Model Selection and its Application to Sparse Vector Estimation—0
Cramer-Rao Bound Optimization for Active RIS-Empowered ISAC Systems—0
Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions—0
A Computationally Efficient Method for Learning Exponential Family Distributions—0
Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers—0
Cross-Frame OTFS Parameter Estimation Based On Chinese Remainder Theorem—0
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models—0
Data-based optimal estimation of frequency bias: The case of Southwest Power Pool—0
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions—0
Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning—0
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions—0
Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics—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
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT—0
Data-Free/Data-Sparse Softmax Parameter Estimation with Structured Class Geometries—0
An AFDM-Based Integrated Sensing and Communications—0
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