adaptive sampling
A technique used in data collection where the sampling strategy adjusts based on the data being collected or processed, aimed at improving efficiency or focusing on areas of higher relevance.
- Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
- Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
- Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency
- Metropolis-Hastings Sampling for 3D Gaussian Reconstruction
- Sample-Adaptivity Tradeoff in On-Demand Sampling
- Simulation-Based Inference for Adaptive Experiments