Towards a minimum description length based stopping criterion for semi-supervised time series classification.
Nurjahan BegumBing HuThanawin RakthanmanonEamonn J. KeoghPublished in: IRI (2013)
Keyphrases
- minimum description length
- stopping criterion
- semi supervised
- information theoretic
- convergence rate
- mdl principle
- semi supervised learning
- unlabeled data
- labeled data
- pairwise
- active learning
- region merging
- cost function
- supervised learning
- merging algorithm
- multi view
- multiscale
- labeled examples
- mutual information
- learning algorithm
- sampling methods