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parameter estimation

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Showing 751–800 of 1719 papers

TitleStatusHype
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model—0
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality—0
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality—0
High dimensional Sparse Gaussian Graphical Mixture Model—0
High-Dimensional Structured Quantile Regression—0
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm—0
Composite Adaptive Disturbance Rejection in Robotics via Instrumental Variables based DREM—0
FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning—0
High-Frequency-Based Volatility Model with Network Structure—0
High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features—0
High-Resolution Channel Sounding and Parameter Estimation in Multi-Site Cellular Networks—0
HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count—0
Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks—0
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches—0
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?—0
How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics:Optimal Strategies,Estimation Error Bounds Tighter than the Cramér-Rao Bound)—0
Adaptive Tracking Control with Binary-Valued Output Observations—0
Computations in Stochastic Acceptors—0
How to quantify fields or textures? A guide to the scattering transform—0
Human Memory Search as Initial-Visit Emitting Random Walk—0
Distributed remote estimation over the collision channel with and without local communication—0
Hybrid Digital-Analog Beamforming and MIMO Radar with OTFS Modulation—0
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration—0
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks—0
Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products—0
Hydraulic Parameter Estimation for District Heating Based on Laboratory Experiments—0
Hydraulic Parameter Estimation in District Heating Networks—0
Hyper-parameter estimation method with particle swarm optimization—0
Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates—0
Distributed Parameter Estimation with Gaussian Observation Noises in Time-varying Digraphs—0
ICI-Aware Parameter Estimation for MIMO-OFDM Radar via APES Spatial Filtering—0
Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures—0
Identifiability Implies Robust, Globally Exponentially Convergent On-line Parameter Estimation: Application to Model Reference Adaptive Control—0
Conditional probability generation methods for high reliability effects-based decision making—0
Identification and Adaptation with Binary-Valued Observations under Non-Persistent Excitation Condition—0
Identification of non-causal systems with random switching modes (Extended Version)—0
Identification of Phase-Locked Loop System From Its Experimental Time Series—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression—0
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models—0
Balance-Subsampled Stable Prediction—0
A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process—0
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation—0
Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation—0
Distributed Parameter Estimation under Gaussian Observation Noises—0
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions—0
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models—0
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging—0
Distributed parameter estimation of discrete hierarchical models via marginal likelihoods—0
Awkt: A Physicochemical Parameter Estimation Tool for Capillary Zone Electrophoresis—0
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