Ranking and benchmarking framework for sampling algorithms on synthetic data streams.
József Dániel GáspárMartin HorváthGyozo HorváthZoltán ZvaraPublished in: CoRR (2020)
Keyphrases
- synthetic data
- benchmark datasets
- learning algorithm
- synthetic datasets
- real image data
- data structure
- sampling algorithm
- computational cost
- computationally efficient
- main contribution
- data sets
- significant improvement
- real life
- real world
- query expansion
- machine learning algorithms
- probabilistic model
- ranking algorithm
- learning to rank
- evaluation metrics
- markov chain monte carlo
- data streams
- sampling strategy