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parameter estimation

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TitleStatusHype
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
Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(n) iterations—0
Ranking Distributions based on Noisy Sorting—0
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data—0
RankMerging: A supervised learning-to-rank framework to predict links in large social network—0
Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware—0
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning—0
Rapid parameter estimation of discrete decaying signals using autoencoder networks—0
Rational Kriging—0
Ray Antenna Array Achieves Uniform Angular Resolution Cost-Effectively for Low-Altitude UAV Swarm ISAC—0
Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models—0
Real-Time Cubature Kalman Filter Parameter Estimation of Blood Pressure Response Characteristics Under Vasoactive Drugs Administration—0
Real-Time Implementation of Dynamic State Estimation for Microgrid Load Bus Protection—0
Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks—0
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles—0
Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation—0
Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations—0
Recovering nonlinear dynamics from non-uniform observations: A physics-based identification approach with practical case studies—0
Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study—0
Recurrent neural network based parameter estimation of Hawkes model on high-frequency financial data—0
Recursive Identification of Structured Systems: An Instrumental-Variable Approach Applied to Mechanical Systems—0
Recursive Inversion Models for Permutations—0
Recursive Least Squares with Fading Regularization for Finite-Time Convergence without Persistent Excitation—0
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation—0
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency—0
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator—0
Regularization-Induced Bias and Consistency in Recursive Least Squares—0
Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models—0
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models—0
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via Non-convex Regularized Regression—0
Parameter-wise co-clustering for high-dimensional data—0
Relevance Topic Model for Unstructured Social Group Activity Recognition—0
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine—0
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