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parameter estimation

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Showing 1001–1050 of 1719 papers

TitleStatusHype
Particle Filtering for Enhanced Parameter Estimation in Bilinear Systems Under Colored Noise—0
Particle Filtering for PLCA model with Application to Music Transcription—0
Passivity and Immersion based-modified gradient estimator: A control perspective in parameter estimation—0
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols—0
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory—0
PDE Acceleration for Active Contours—0
PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees—0
Performance bounds of adaptive MPC with bounded parameter uncertainties—0
Perfusion parameter estimation using neural networks and data augmentation—0
Persistent Excitation is Unnecessary for On-line Exponential Parameter Estimation: A New Algorithm that Overcomes this Obstacle—0
Persistent homology classifies parameter dependence of patterns in Turing systems—0
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing—0
Phase transition on the convergence rate of parameter estimation under an Ornstein-Uhlenbeck diffusion on a tree—0
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Physics-constrained deep neural network method for estimating parameters in a redox flow battery—0
Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems—0
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems—0
Piecewise constant tuning gain based singularity-free MRAC with application to aircraft control systems—0
PINNs-Based Uncertainty Quantification for Transient Stability Analysis—0
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks—0
Plug-and-Play Posterior Sampling for Blind Inverse Problems—0
PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems -- Ultimate boundedness in the presence of measurement noise—0
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification—0
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting—0
Power Adaptation for Vector Parameter Estimation according to Fisher Information based Optimality Criteria—0
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation—0
Predator Prey Scavenger Model using Holling's Functional Response of Type III and Physics-Informed Deep Neural Networks—0
Predicting Failures of Vision Systems—0
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach—0
Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings—0
Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error—0
Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand—0
PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies—0
Probabilistic Models for High-Order Projective Dependency Parsing—0
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features—0
Progressive EM for Latent Tree Models and Hierarchical Topic Detection—0
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation—0
Prospects and limits of SIR-type Mathematical Models to Capture the COVID-19 Pandemic—0
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application—0
Psychological dimension of adaptive trading in cryptocurrency markets—0
PUnDA: Probabilistic Unsupervised Domain Adaptation for Knowledge Transfer Across Visual Categories—0
qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model—0
Quadratic Gating Functions in Mixture of Experts: A Statistical Insight—0
Quantification in-the-wild: data-sets and baselines—0
Quantitative assessment of biological dynamics with aggregate data—0
Quantum consistent neural/tensor networks for photonic circuits with strongly/weakly entangled states—0
Radar Sensing via OTFS Signaling—0
RadYOLOLet: Radar Detection and Parameter Estimation Using YOLO and WaveLet—0
Decentralized Online Learning for Random Inverse Problems Over Graphs—0
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