Approximate modeling of continuous context in factorization algorithms.
Balázs HidasiDomonkos TikkPublished in: CaRR@ECIR (2014)
Keyphrases
- learning algorithm
- contextual information
- computational cost
- computationally efficient
- data structure
- machine learning algorithms
- benchmark datasets
- orders of magnitude
- continuous domains
- approximate solutions
- graph theory
- context sensitive
- recently developed
- computationally expensive
- worst case
- dynamic programming
- computational complexity
- image processing
- computer vision