%0 Journal Article %1 krempl_et_al:DagRep.10.4.1 %A Krempl, Georg %A Hofer, Vera %A Webb, Geoffrey %A Hüllermeier, Eyke %C Dagstuhl, Germany %D 2021 %E Krempl, Georg %E Hofer, Vera %E Webb, Geoffrey %E Hüllermeier, Eyke %I Schloss Dagstuhl -- Leibniz-Zentrum für Informatik %J Dagstuhl Reports %K kmd %N 4 %P 1--36 %R 10.4230/DagRep.10.4.1 %T Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372) %U https://drops.dagstuhl.de/opus/volltexte/2021/13735 %V 10 %Z Keywords: Statistical Machine Learning, Data Streams, Concept Drift, Non-Stationary Non-IID Data, Change Mining, Dagstuhl Seminar

@article{krempl_et_al:DagRep.10.4.1, added-at = {2021-06-15T11:47:44.000+0200}, address = {Dagstuhl, Germany}, annote = {Keywords: Statistical Machine Learning, Data Streams, Concept Drift, Non-Stationary Non-IID Data, Change Mining, Dagstuhl Seminar}, author = {Krempl, Georg and Hofer, Vera and Webb, Geoffrey and H\"{u}llermeier, Eyke}, biburl = {https://www.bibsonomy.org/bibtex/29a2de57cac437ec7d3ce426cb810bc46/kmd-ovgu}, doi = {10.4230/DagRep.10.4.1}, editor = {Krempl, Georg and Hofer, Vera and Webb, Geoffrey and H\"{u}llermeier, Eyke}, interhash = {34fbaa50a3e875e13b8654db3f4b1b78}, intrahash = {9a2de57cac437ec7d3ce426cb810bc46}, issn = {2192-5283}, journal = {Dagstuhl Reports}, keywords = {kmd}, number = 4, pages = {1--36}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, timestamp = {2021-06-15T11:47:44.000+0200}, title = {{Beyond Adaptation: Understanding Distributional Changes (Dagstuhl Seminar 20372)}}, url = {https://drops.dagstuhl.de/opus/volltexte/2021/13735}, urn = {urn:nbn:de:0030-drops-137359}, volume = 10, year = 2021 }