@inproceedings {pub3087,
	title = {Choosing the Best Algorithm for an Incremental Learning Task},
	author = {Viktor Losing AND Barbara Hammer AND Heiko Wersing},
	year = {2016},
	month = {April},
	abstract = {Incremental and on-line learning gained recently more atten-
tion especially in the context of big data and learning from data streams,
conflicting with the traditional assumption of complete data availability.
Even though plenty of different methods are available, it often remains
unclear which of them is suitable for a specific task and how they perform
in comparison to each other. We analyze the key properties of seven in-
cremental methods representing different algorithm classes. Our extensive
evaluation on data sets with different characteristics gives an overview of
the performance with respect to accuracy as well as model complexity,
facilitating the choice of the best method for a given application.},
	publisher = {i6doc},
	booktitle = {European Symposium on Artificial Neural Networks}
}