Can automated smoothing significantly improve benchmark time series classification algorithms?
James LargePaul SouthamAnthony J. BagnallPublished in: CoRR (2018)
Keyphrases
- orders of magnitude
- computational cost
- computationally efficient
- benchmark datasets
- machine learning
- learning algorithm
- recently developed
- combinatorial optimization
- computational complexity
- significant improvement
- theoretical analysis
- language model
- smoothing methods
- graph theory
- times faster
- computationally expensive
- real time
- data structure
- optimal solution
- bayesian networks
- training data
- real world