The value of repeatable experiments and negative results: - a journey through the history and future of AQM and fair queuing algorithms.
M. Dave TähtPublished in: CSWS@SIGCOMM (2014)
Keyphrases
- learning algorithm
- computational complexity
- computational cost
- positive and negative
- orders of magnitude
- recently developed
- image processing
- theoretical analysis
- significant improvement
- times faster
- computationally expensive
- worst case
- long term
- neural network
- data sets
- benchmark datasets
- data structure
- reinforcement learning
- computer vision