Incremental learning with the minimum description length principle

@article{Murena2017IncrementalLW,
  title={Incremental learning with the minimum description length principle},
  author={Pierre-Alexandre Murena and Antoine Cornu{\'e}jols and Jean-Louis Dessalles},
  journal={2017 International Joint Conference on Neural Networks (IJCNN)},
  year={2017},
  pages={1908-1915}
}
Whereas a large number of machine learning methods focus on offline learning over a single batch of data called training data set, the increasing number of automatically generated data leads to the emergence of new issues that offline learning cannot cope with. Incremental learning designates online learning of a model from streaming data. In non-stationary environments, the process generating these data may change over time, hence the learned concept becomes invalid. Adaptation to this non… CONTINUE READING