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parameter estimation

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Showing 951–1000 of 1719 papers

TitleStatusHype
GWRBoost:A geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships—0
Hard-Clustering with Gaussian Mixture Models—0
Hardness of parameter estimation in graphical models—0
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers—0
HeatFormer: A Neural Optimizer for Multiview Human Mesh Recovery—0
Heterogeneous Federated Learning on a Graph—0
Heterogeneous transfer learning for high dimensional regression with feature mismatch—0
Hidden Markov models as recurrent neural networks: an application to Alzheimer's disease—0
Hidden Markov models are recurrent neural networks: A disease progression modeling application—0
Hierarchical Bayesian myocardial perfusion quantification—0
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
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
How to quantify fields or textures? A guide to the scattering transform—0
Human Memory Search as Initial-Visit Emitting Random Walk—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
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
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
Identifying Terrain Physical Parameters from Vision -- Towards Physical-Parameter-Aware Locomotion and Navigation—0
Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering—0
Immersion of General Nonlinear Systems Into State-Affine Ones for the Design of Generalized Parameter Estimation-Based Observers: A Simple Algebraic Procedure—0
Implicit High-Order Moment Tensor Estimation and Learning Latent Variable Models—0
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging—0
Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors—0
Enhanced BPINN Training Convergence in Solving General and Multi-scale Elliptic PDEs with Noise—0
Improvement of Identification Procedure Using Hybrid Cuckoo Search Algorithm for TurbineGovernor and Excitation System—0
Improving Computational Complexity in Statistical Models with Second-Order Information—0
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