| High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model | May 15, 2020 | AnatomyBayesian Optimization | —Unverified | 0 |
| High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality | Dec 1, 2015 | parameter estimationVocal Bursts Intensity Prediction | —Unverified | 0 |
| High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality | Dec 30, 2014 | parameter estimationVocal Bursts Intensity Prediction | —Unverified | 0 |
| High dimensional Sparse Gaussian Graphical Mixture Model | Aug 15, 2013 | modelparameter estimation | —Unverified | 0 |
| High-Dimensional Structured Quantile Regression | Aug 1, 2017 | parameter estimationquantile regression | —Unverified | 0 |
| High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm | Aug 1, 2017 | parameter estimationVocal Bursts Intensity Prediction | —Unverified | 0 |
| Composite Adaptive Disturbance Rejection in Robotics via Instrumental Variables based DREM | Jun 28, 2024 | parameter estimation | —Unverified | 0 |
| FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning | Aug 2, 2023 | parameter estimation | —Unverified | 0 |
| High-Frequency-Based Volatility Model with Network Structure | Apr 14, 2022 | modelparameter estimation | —Unverified | 0 |
| A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process | Apr 17, 2024 | parameter estimation | —Unverified | 0 |
