Incremental learning algorithms and applications

@inproceedings{Gepperth2016IncrementalLA,
  title={Incremental learning algorithms and applications},
  author={Alexander Gepperth and Barbara Hammer},
  booktitle={ESANN},
  year={2016}
}
Incremental learning refers to learning from streaming data, which arrive over time, with limited memory resources and, ideally, without sacrificing model accuracy. This setting fits different application scenarios where lifelong learning is relevant, e.g. due to changing environments, and it offers an elegant scheme for big data processing by means of its sequential treatment. In this contribution, we formalise the concept of incremental learning, we discuss particular challenges which arise… CONTINUE READING
Highly Cited
This paper has 39 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 22 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 177 references

Similar Papers

Loading similar papers…