RT Conference Proceedings
T1 On the creation of diverse ensembles for nonstationary environments using bio-inspired heuristics
A1 Lobo, Jesus L.
A1 Del Ser, Javier
A1 Villar-Rodriguez, Esther
A1 Bilbao, Miren Nekane
A1 Salcedo-Sanz, Sancho
A2 Del Ser, Javier
AB Recently the relevance of adaptive models for dynamic data environments has turned into a hot topic due to the vast number of scenarios generating nonstationary data streams. When a change (concept drift) in data distribution occurs, the ensembles of models trained over these data sources are obsolete and do not adapt suitably to the new distribution of the data. Although most of the research on the field is focused on the detection of this drift to re-train the ensemble, it is widely known the importance of the diversity in the ensemble shortly after the drift in order to reduce the initial drop in accuracy. In a Big Data scenario in which data can be huge (and also the number of past models), achieving the most diverse ensemble implies the calculus of all possible combinations of models, which is not an easy task to carry out quickly in the long term. This challenge can be formulated as an optimization problem, for which bio-inspired algorithms can play one of the key roles in these adaptive algorithms. Precisely this is the goal of this manuscript: to validate the relevance of the diversity right after drifts, and to unveil how to achieve a highly diverse ensemble by using a self-learning optimization technique.
PB Springer Verlag
SN 9789811037276
SN 2194-5357
YR 2017
FD 2017
LK https://hdl.handle.net/11556/2468
UL https://hdl.handle.net/11556/2468
LA eng
NO Lobo , J L , Del Ser , J , Villar-Rodriguez , E , Bilbao , M N & Salcedo-Sanz , S 2017 , On the creation of diverse ensembles for nonstationary environments using bio-inspired heuristics . in J Del Ser (ed.) , Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) . Advances in Intelligent Systems and Computing , vol. 514 , Springer Verlag , pp. 67-77 , Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 , Bilbao , Spain , 22/02/17 . https://doi.org/10.1007/978-981-10-3728-3_8
NO conference
NO Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.
NO This work has been supported by the Basque Government through the ELKARTEK program (ref. KK-2015/0000080, BID3A project) and BID3ABI project.
DS TECNALIA Publications
RD 29 jul 2024