Probabilistic Methods in the Design and Analysis of Algorithms (Dagstuhl Seminar 17141).
Bodo MantheyClaire MathieuHeiko RöglinEli UpfalPublished in: Dagstuhl Reports (2017)
Keyphrases
- significant improvement
- computational cost
- benchmark datasets
- exact and approximate
- computationally expensive
- methods outperform
- data analysis
- computationally complex
- synthetic and real data sets
- design methodologies
- search methods
- computer vision algorithms
- alternative methods
- optimization methods
- design process
- data analysis tasks
- machine learning methods
- heuristic methods
- methods can be applied
- probabilistic approaches
- synthetic and real datasets
- algorithms require
- methods require
- probabilistic model
- step wise
- data sets
- computationally demanding
- complexity analysis
- synthetic datasets
- statistical analysis
- empirical studies
- preprocessing
- case study