Towards highly scalable runtime models with history.
Lucas SakizloglouSona GhahremaniThomas BrandMatthias BarkowskyHolger GiesePublished in: SEAMS@ICSE (2020)
Keyphrases
- highly scalable
- probabilistic model
- three dimensional
- databases
- statistical models
- e learning
- experimental data
- artificial neural networks
- complex systems
- knowledge base
- d objects
- computer vision
- database
- computational models
- bayesian framework
- genetic algorithm
- model selection
- language model
- prior knowledge
- pairwise
- search algorithm
- video sequences
- multiscale
- case study