Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964133310> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W2964133310 abstract "Multi-label classification is an important learning problem with many applications. In this work, we propose a similarity-based approach for multi-label learning called SML. We also introduce a similarity-based approach for predicting the label set size. SML is amenable to streaming data and online learning, naturally able to handle changes in the problem domain, robust to training data with skewed class label sets, accurate with low variance, and lends itself to an efficient parallel implementation. The experimental results demonstrate the effectiveness of SML for multi-label classification where it is shown to compare favorably with a wide variety of existing algorithms across a range of evaluation criterion." @default.
- W2964133310 created "2019-07-30" @default.
- W2964133310 creator A5009957887 @default.
- W2964133310 creator A5038305381 @default.
- W2964133310 creator A5047290878 @default.
- W2964133310 creator A5059294839 @default.
- W2964133310 date "2018-07-01" @default.
- W2964133310 modified "2023-09-26" @default.
- W2964133310 title "Similarity-based Multi-label Learning" @default.
- W2964133310 cites W1834987204 @default.
- W2964133310 cites W1949687736 @default.
- W2964133310 cites W1982039810 @default.
- W2964133310 cites W2052684427 @default.
- W2964133310 cites W2053463056 @default.
- W2964133310 cites W2114315281 @default.
- W2964133310 cites W2125238156 @default.
- W2964133310 cites W2156637418 @default.
- W2964133310 cites W2156935079 @default.
- W2964133310 cites W2172000360 @default.
- W2964133310 cites W2561178549 @default.
- W2964133310 cites W2593265540 @default.
- W2964133310 doi "https://doi.org/10.1109/ijcnn.2018.8489039" @default.
- W2964133310 hasPublicationYear "2018" @default.
- W2964133310 type Work @default.
- W2964133310 sameAs 2964133310 @default.
- W2964133310 citedByCount "6" @default.
- W2964133310 countsByYear W29641333102018 @default.
- W2964133310 countsByYear W29641333102020 @default.
- W2964133310 countsByYear W29641333102021 @default.
- W2964133310 countsByYear W29641333102022 @default.
- W2964133310 crossrefType "proceedings-article" @default.
- W2964133310 hasAuthorship W2964133310A5009957887 @default.
- W2964133310 hasAuthorship W2964133310A5038305381 @default.
- W2964133310 hasAuthorship W2964133310A5047290878 @default.
- W2964133310 hasAuthorship W2964133310A5059294839 @default.
- W2964133310 hasBestOaLocation W29641333102 @default.
- W2964133310 hasConcept C103278499 @default.
- W2964133310 hasConcept C115961682 @default.
- W2964133310 hasConcept C153180895 @default.
- W2964133310 hasConcept C154945302 @default.
- W2964133310 hasConcept C2776482837 @default.
- W2964133310 hasConcept C41008148 @default.
- W2964133310 hasConceptScore W2964133310C103278499 @default.
- W2964133310 hasConceptScore W2964133310C115961682 @default.
- W2964133310 hasConceptScore W2964133310C153180895 @default.
- W2964133310 hasConceptScore W2964133310C154945302 @default.
- W2964133310 hasConceptScore W2964133310C2776482837 @default.
- W2964133310 hasConceptScore W2964133310C41008148 @default.
- W2964133310 hasLocation W29641333101 @default.
- W2964133310 hasLocation W29641333102 @default.
- W2964133310 hasOpenAccess W2964133310 @default.
- W2964133310 hasPrimaryLocation W29641333101 @default.
- W2964133310 hasRelatedWork W1914651075 @default.
- W2964133310 hasRelatedWork W2033914206 @default.
- W2964133310 hasRelatedWork W2146076056 @default.
- W2964133310 hasRelatedWork W2900794075 @default.
- W2964133310 hasRelatedWork W2912288872 @default.
- W2964133310 hasRelatedWork W3003836766 @default.
- W2964133310 hasRelatedWork W3107474891 @default.
- W2964133310 hasRelatedWork W3183633970 @default.
- W2964133310 hasRelatedWork W3208309985 @default.
- W2964133310 hasRelatedWork W2164844972 @default.
- W2964133310 isParatext "false" @default.
- W2964133310 isRetracted "false" @default.
- W2964133310 magId "2964133310" @default.
- W2964133310 workType "article" @default.