Automated Fine Tuning of Probabilistic Self-Stabilizing Algorithms.
Saba AflakiMatthias VolkBorzoo BonakdarpourJoost-Pieter KatoenArne StorjohannPublished in: SRDS (2017)
Keyphrases
- fine tuning
- computationally efficient
- significant improvement
- orders of magnitude
- learning algorithm
- theoretical analysis
- data structure
- combinatorial optimization
- computational cost
- computational efficiency
- optimization problems
- computational complexity
- bayesian networks
- recently developed
- fine tune
- viable alternative
- real time
- data mining techniques
- general purpose
- probabilistic model
- image sequences
- databases