: Bayesian Declarative Modeling of General Data Structures and Inference via Algorithms Based on Distribution Continua.
Alexandre Bouchard-CôtéKevin ChernDavor CubranicSahand HosseiniJustin HumeMatteo LepurZihui OuyangGiorgio SgarbiPublished in: J. Stat. Softw. (2022)
Keyphrases
- data structure
- learning algorithm
- bayesian networks
- previously studied
- significant improvement
- efficient data structures
- algorithms and data structures
- suffix tree
- bayesian inference
- computationally efficient
- computational cost
- knowledge representation
- worst case
- data mining techniques
- probability distribution
- benchmark datasets
- decision theoretic
- evolutionary algorithm
- data streams
- computationally hard
- image segmentation
- machine learning