Matches in SemOpenAlex for { <https://semopenalex.org/work/W4298035268> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4298035268 endingPage "222" @default.
- W4298035268 startingPage "210" @default.
- W4298035268 abstract "Ensemble learning methods for evolving data streams are extremely powerful learning methods since they combine the predictions of a set of classifiers, to improve the performance of the best single classifier inside the ensemble. In this paper we introduce the Droplet Ensemble Algorithm (DEA), a new method for learning on data streams subject to concept drifts which combines ensemble and instance based learning. Contrarily to state of the art ensemble methods which select the base learners according to their performances on recent observations, DEA dynamically selects the subset of base learners which is the best suited for the region of the feature space where the latest observation was received. Experiments on 25 datasets (most of which being commonly used as benchmark in the literature) reproducing different type of drifts show that this new method achieves excellent results on accuracy and ranking against SAM KNN [1], all of its base learners and a majority vote algorithm using the same base learners." @default.
- W4298035268 created "2022-10-01" @default.
- W4298035268 creator A5006291759 @default.
- W4298035268 creator A5065404842 @default.
- W4298035268 creator A5076504951 @default.
- W4298035268 creator A5080970505 @default.
- W4298035268 date "2017-01-01" @default.
- W4298035268 modified "2023-10-18" @default.
- W4298035268 title "Droplet Ensemble Learning on Drifting Data Streams" @default.
- W4298035268 cites W1525647652 @default.
- W4298035268 cites W1991076541 @default.
- W4298035268 cites W2000454347 @default.
- W4298035268 cites W2016159616 @default.
- W4298035268 cites W2068714596 @default.
- W4298035268 cites W2099940443 @default.
- W4298035268 cites W2100406636 @default.
- W4298035268 cites W2134125037 @default.
- W4298035268 cites W2160512933 @default.
- W4298035268 cites W2585508806 @default.
- W4298035268 cites W813750835 @default.
- W4298035268 doi "https://doi.org/10.1007/978-3-319-68765-0_18" @default.
- W4298035268 hasPublicationYear "2017" @default.
- W4298035268 type Work @default.
- W4298035268 citedByCount "3" @default.
- W4298035268 countsByYear W42980352682018 @default.
- W4298035268 countsByYear W42980352682021 @default.
- W4298035268 countsByYear W42980352682022 @default.
- W4298035268 crossrefType "book-chapter" @default.
- W4298035268 hasAuthorship W4298035268A5006291759 @default.
- W4298035268 hasAuthorship W4298035268A5065404842 @default.
- W4298035268 hasAuthorship W4298035268A5076504951 @default.
- W4298035268 hasAuthorship W4298035268A5080970505 @default.
- W4298035268 hasBestOaLocation W42980352682 @default.
- W4298035268 hasConcept C119857082 @default.
- W4298035268 hasConcept C119898033 @default.
- W4298035268 hasConcept C124101348 @default.
- W4298035268 hasConcept C13280743 @default.
- W4298035268 hasConcept C134306372 @default.
- W4298035268 hasConcept C153180895 @default.
- W4298035268 hasConcept C154945302 @default.
- W4298035268 hasConcept C185798385 @default.
- W4298035268 hasConcept C189430467 @default.
- W4298035268 hasConcept C205649164 @default.
- W4298035268 hasConcept C33923547 @default.
- W4298035268 hasConcept C41008148 @default.
- W4298035268 hasConcept C42058472 @default.
- W4298035268 hasConcept C45942800 @default.
- W4298035268 hasConcept C89198739 @default.
- W4298035268 hasConcept C95623464 @default.
- W4298035268 hasConceptScore W4298035268C119857082 @default.
- W4298035268 hasConceptScore W4298035268C119898033 @default.
- W4298035268 hasConceptScore W4298035268C124101348 @default.
- W4298035268 hasConceptScore W4298035268C13280743 @default.
- W4298035268 hasConceptScore W4298035268C134306372 @default.
- W4298035268 hasConceptScore W4298035268C153180895 @default.
- W4298035268 hasConceptScore W4298035268C154945302 @default.
- W4298035268 hasConceptScore W4298035268C185798385 @default.
- W4298035268 hasConceptScore W4298035268C189430467 @default.
- W4298035268 hasConceptScore W4298035268C205649164 @default.
- W4298035268 hasConceptScore W4298035268C33923547 @default.
- W4298035268 hasConceptScore W4298035268C41008148 @default.
- W4298035268 hasConceptScore W4298035268C42058472 @default.
- W4298035268 hasConceptScore W4298035268C45942800 @default.
- W4298035268 hasConceptScore W4298035268C89198739 @default.
- W4298035268 hasConceptScore W4298035268C95623464 @default.
- W4298035268 hasLocation W42980352681 @default.
- W4298035268 hasLocation W42980352682 @default.
- W4298035268 hasLocation W42980352683 @default.
- W4298035268 hasOpenAccess W4298035268 @default.
- W4298035268 hasPrimaryLocation W42980352681 @default.
- W4298035268 hasRelatedWork W1514365828 @default.
- W4298035268 hasRelatedWork W1807784185 @default.
- W4298035268 hasRelatedWork W1909207154 @default.
- W4298035268 hasRelatedWork W2794896638 @default.
- W4298035268 hasRelatedWork W3101614107 @default.
- W4298035268 hasRelatedWork W3124390867 @default.
- W4298035268 hasRelatedWork W3149839747 @default.
- W4298035268 hasRelatedWork W3202800081 @default.
- W4298035268 hasRelatedWork W3204228978 @default.
- W4298035268 hasRelatedWork W45170056 @default.
- W4298035268 isParatext "false" @default.
- W4298035268 isRetracted "false" @default.
- W4298035268 workType "book-chapter" @default.