A Theoretical and Practical Framework for Assessing the Computational Behavior of Typical Testor-Finding Algorithms.
Eduardo Alba-CabreraJulio Ibarra-FialloSalvador Godoy-CalderónPublished in: CIARP (1) (2013)
Keyphrases
- theoretical analysis
- complexity analysis
- orders of magnitude
- machine learning algorithms
- real world
- mathematical foundations
- practical problems
- main contribution
- computational cost
- data sets
- learning algorithm
- computational complexity
- statistics and machine learning
- theoretical models
- data mining
- fusion framework
- theoretical considerations
- computationally demanding
- privacy preserving data mining algorithms
- cutting plane
- times faster
- benchmark datasets
- maximum likelihood
- significant improvement
- search algorithm
- optimal solution