Matches in SemOpenAlex for { <https://semopenalex.org/work/W2045649112> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2045649112 endingPage "292" @default.
- W2045649112 startingPage "281" @default.
- W2045649112 abstract "Abstract According to standard procedure, building a classifier using machine learning is a fully automated process that follows the preparation of training data by a domain expert. In contrast, interactive machine learning engages users in actually generating the classifier themselves. This offers a natural way of integrating background knowledge into the modelling stage—as long as interactive tools can be designed that support efficient and effective communication. This paper shows that appropriate techniques can empower users to create models that compete with classifiers built by state-of-the-art learning algorithms. It demonstrates that users—even users who are not domain experts—can often construct good classifiers, without any help from a learning algorithm, using a simple two-dimensional visual interface. Experiments on real data demonstrate that, not surprisingly, success hinges on the domain: if a few attributes can support good predictions, users generate accurate classifiers, whereas domains with many high-order attribute interactions favour standard machine learning techniques. We also present an artificial example where domain knowledge allows an “expert user” to create a much more accurate model than automatic learning algorithms. These results indicate that our system has the potential to produce highly accurate classifiers in the hands of a domain expert who has a strong interest in the domain and therefore some insights into how to partition the data. Moreover, small expert-defined models offer the additional advantage that they will generally be more intelligible than those generated by automatic techniques." @default.
- W2045649112 created "2016-06-24" @default.
- W2045649112 creator A5005241704 @default.
- W2045649112 creator A5034144529 @default.
- W2045649112 creator A5039739707 @default.
- W2045649112 creator A5056507889 @default.
- W2045649112 creator A5059992863 @default.
- W2045649112 date "2001-09-01" @default.
- W2045649112 modified "2023-10-17" @default.
- W2045649112 title "Interactive machine learning: letting users build classifiers" @default.
- W2045649112 cites W2022742519 @default.
- W2045649112 cites W2037768235 @default.
- W2045649112 cites W2912276539 @default.
- W2045649112 cites W2951539267 @default.
- W2045649112 doi "https://doi.org/10.1006/ijhc.2001.0499" @default.
- W2045649112 hasPublicationYear "2001" @default.
- W2045649112 type Work @default.
- W2045649112 sameAs 2045649112 @default.
- W2045649112 citedByCount "158" @default.
- W2045649112 countsByYear W20456491122012 @default.
- W2045649112 countsByYear W20456491122013 @default.
- W2045649112 countsByYear W20456491122014 @default.
- W2045649112 countsByYear W20456491122015 @default.
- W2045649112 countsByYear W20456491122016 @default.
- W2045649112 countsByYear W20456491122017 @default.
- W2045649112 countsByYear W20456491122018 @default.
- W2045649112 countsByYear W20456491122019 @default.
- W2045649112 countsByYear W20456491122020 @default.
- W2045649112 countsByYear W20456491122021 @default.
- W2045649112 countsByYear W20456491122022 @default.
- W2045649112 countsByYear W20456491122023 @default.
- W2045649112 crossrefType "journal-article" @default.
- W2045649112 hasAuthorship W2045649112A5005241704 @default.
- W2045649112 hasAuthorship W2045649112A5034144529 @default.
- W2045649112 hasAuthorship W2045649112A5039739707 @default.
- W2045649112 hasAuthorship W2045649112A5056507889 @default.
- W2045649112 hasAuthorship W2045649112A5059992863 @default.
- W2045649112 hasBestOaLocation W20456491122 @default.
- W2045649112 hasConcept C107457646 @default.
- W2045649112 hasConcept C119857082 @default.
- W2045649112 hasConcept C154945302 @default.
- W2045649112 hasConcept C41008148 @default.
- W2045649112 hasConceptScore W2045649112C107457646 @default.
- W2045649112 hasConceptScore W2045649112C119857082 @default.
- W2045649112 hasConceptScore W2045649112C154945302 @default.
- W2045649112 hasConceptScore W2045649112C41008148 @default.
- W2045649112 hasIssue "3" @default.
- W2045649112 hasLocation W20456491121 @default.
- W2045649112 hasLocation W20456491122 @default.
- W2045649112 hasOpenAccess W2045649112 @default.
- W2045649112 hasPrimaryLocation W20456491121 @default.
- W2045649112 hasRelatedWork W2961085424 @default.
- W2045649112 hasRelatedWork W3046775127 @default.
- W2045649112 hasRelatedWork W3107602296 @default.
- W2045649112 hasRelatedWork W3170094116 @default.
- W2045649112 hasRelatedWork W3209574120 @default.
- W2045649112 hasRelatedWork W4205958290 @default.
- W2045649112 hasRelatedWork W4286629047 @default.
- W2045649112 hasRelatedWork W4306321456 @default.
- W2045649112 hasRelatedWork W4306674287 @default.
- W2045649112 hasRelatedWork W4224009465 @default.
- W2045649112 hasVolume "55" @default.
- W2045649112 isParatext "false" @default.
- W2045649112 isRetracted "false" @default.
- W2045649112 magId "2045649112" @default.
- W2045649112 workType "article" @default.