07391 Abstracts Collection - Probabilistic Methods in the Design and Analysis of Algorithms.
Martin DietzfelbingerShang-Hua TengEli UpfalBerthold VöckingPublished in: Probabilistic Methods in the Design and Analysis of Algorithms (2007)
Keyphrases
- benchmark datasets
- computational cost
- machine learning methods
- significant improvement
- methods outperform
- methods require
- database
- data analysis tasks
- synthetic and real datasets
- search methods
- machine learning algorithms
- complexity analysis
- statistical methods
- statistical analysis
- uncertain data
- error measure
- algorithms require
- problems in computer vision
- image processing algorithms
- mathematical models
- optimization methods
- exact and approximate
- design methodologies
- data analysis
- step wise
- computationally demanding
- methods can be applied
- computationally intensive
- computationally expensive
- design process
- theoretical analysis
- computationally efficient
- case study
- learning algorithm
- neural network