Differentiable Multi-Target Causal Bayesian Experimental Design.
Panagiotis TigasYashas AnnadaniDesi R. IvanovaAndrew JessonYarin GalAdam FosterStefan BauerPublished in: ICML (2023)
Keyphrases
- experimental design
- multi target
- bayesian networks
- multi target tracking
- multi sensor
- active learning
- multi camera
- empirical studies
- visual tracking
- sample size
- multiple targets
- data association
- feature selection
- objective function
- data fusion
- random forests
- class imbalance
- prediction accuracy
- machine learning algorithms
- particle filter
- multi class
- state space