| Adaptive Input Design for Nonlinear System Identification with Operational Constraints | Feb 28, 2025 | parameter estimation | —Unverified | 0 | 0 |
| Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models | Sep 29, 2014 | ClusteringOnline Clustering | —Unverified | 0 | 0 |
| Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks | Apr 18, 2025 | Bayesian Inferenceparameter estimation | —Unverified | 0 | 0 |
| Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM | Mar 30, 2022 | parameter estimation | —Unverified | 0 | 0 |
| Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters | May 24, 2023 | parameter estimationregression | —Unverified | 0 | 0 |
| Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo | Aug 3, 2020 | parameter estimation | —Unverified | 0 | 0 |
| Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance | May 29, 2024 | parameter estimationregression | —Unverified | 0 | 0 |
| Adaptive Randomized Dimension Reduction on Massive Data | Apr 13, 2015 | Dimensionality Reductionparameter estimation | —Unverified | 0 | 0 |
| Adaptive State Observers of Linear Time-varying Descriptor Systems: A Parameter Estimation-Based Approach | Jul 19, 2024 | parameter estimation | —Unverified | 0 | 0 |
| Adaptive Tracking Control with Binary-Valued Output Observations | Nov 8, 2024 | parameter estimation | —Unverified | 0 | 0 |
