Matches in SemOpenAlex for { <https://semopenalex.org/work/W2088187739> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2088187739 abstract "Multi-label learning refers to methods for learning a set of functions that assigns a set of relevant labels to each instance. One of popular approaches to multi-label learning is label ranking, where a set of ranking functions are learned to order all the labels such that relevant labels are ranked higher than irrelevant ones. Rank-SVM is a representative method for label ranking where ranking loss is minimized in the framework of max margin. However, the dual form in Rank-SVM involves a quadratic programming which is generally solved in cubic time in the size of training data. The primal form is appealing for the development of online learning but involves a nonsmooth convex loss function. In this paper we present a method for online multi-label learning where we minimize the primal form using the accelerated nonsmooth stochastic gradient descent which has been recently developed to extend Nesterov's smoothing method to the stochastic setting. Numerical experiments on several large-scale datasets demonstrate the computational efficiency and fast convergence of our proposed method, compared to existing methods including subgradient-based algorithms." @default.
- W2088187739 created "2016-06-24" @default.
- W2088187739 creator A5021591715 @default.
- W2088187739 creator A5086350199 @default.
- W2088187739 date "2013-05-01" @default.
- W2088187739 modified "2023-10-11" @default.
- W2088187739 title "Online multi-label learning with accelerated nonsmooth stochastic gradient descent" @default.
- W2088187739 cites W1524416683 @default.
- W2088187739 cites W1544435011 @default.
- W2088187739 cites W2051434435 @default.
- W2088187739 cites W2053463056 @default.
- W2088187739 cites W2066340877 @default.
- W2088187739 cites W2124541940 @default.
- W2088187739 cites W2129026672 @default.
- W2088187739 cites W2136885855 @default.
- W2088187739 cites W2142623206 @default.
- W2088187739 cites W2167732364 @default.
- W2088187739 cites W4236796448 @default.
- W2088187739 cites W4237640996 @default.
- W2088187739 doi "https://doi.org/10.1109/icassp.2013.6638273" @default.
- W2088187739 hasPublicationYear "2013" @default.
- W2088187739 type Work @default.
- W2088187739 sameAs 2088187739 @default.
- W2088187739 citedByCount "6" @default.
- W2088187739 countsByYear W20881877392017 @default.
- W2088187739 countsByYear W20881877392020 @default.
- W2088187739 countsByYear W20881877392021 @default.
- W2088187739 countsByYear W20881877392022 @default.
- W2088187739 crossrefType "proceedings-article" @default.
- W2088187739 hasAuthorship W2088187739A5021591715 @default.
- W2088187739 hasAuthorship W2088187739A5086350199 @default.
- W2088187739 hasConcept C119857082 @default.
- W2088187739 hasConcept C126255220 @default.
- W2088187739 hasConcept C127413603 @default.
- W2088187739 hasConcept C136764020 @default.
- W2088187739 hasConcept C146978453 @default.
- W2088187739 hasConcept C153258448 @default.
- W2088187739 hasConcept C154945302 @default.
- W2088187739 hasConcept C206688291 @default.
- W2088187739 hasConcept C2776637919 @default.
- W2088187739 hasConcept C2986087404 @default.
- W2088187739 hasConcept C33923547 @default.
- W2088187739 hasConcept C41008148 @default.
- W2088187739 hasConcept C50644808 @default.
- W2088187739 hasConceptScore W2088187739C119857082 @default.
- W2088187739 hasConceptScore W2088187739C126255220 @default.
- W2088187739 hasConceptScore W2088187739C127413603 @default.
- W2088187739 hasConceptScore W2088187739C136764020 @default.
- W2088187739 hasConceptScore W2088187739C146978453 @default.
- W2088187739 hasConceptScore W2088187739C153258448 @default.
- W2088187739 hasConceptScore W2088187739C154945302 @default.
- W2088187739 hasConceptScore W2088187739C206688291 @default.
- W2088187739 hasConceptScore W2088187739C2776637919 @default.
- W2088187739 hasConceptScore W2088187739C2986087404 @default.
- W2088187739 hasConceptScore W2088187739C33923547 @default.
- W2088187739 hasConceptScore W2088187739C41008148 @default.
- W2088187739 hasConceptScore W2088187739C50644808 @default.
- W2088187739 hasLocation W20881877391 @default.
- W2088187739 hasOpenAccess W2088187739 @default.
- W2088187739 hasPrimaryLocation W20881877391 @default.
- W2088187739 hasRelatedWork W1482842794 @default.
- W2088187739 hasRelatedWork W2783017988 @default.
- W2088187739 hasRelatedWork W2913386018 @default.
- W2088187739 hasRelatedWork W2923003550 @default.
- W2088187739 hasRelatedWork W2999350142 @default.
- W2088187739 hasRelatedWork W3035836947 @default.
- W2088187739 hasRelatedWork W3105740820 @default.
- W2088187739 hasRelatedWork W3192585338 @default.
- W2088187739 hasRelatedWork W4205393829 @default.
- W2088187739 hasRelatedWork W4301203023 @default.
- W2088187739 isParatext "false" @default.
- W2088187739 isRetracted "false" @default.
- W2088187739 magId "2088187739" @default.
- W2088187739 workType "article" @default.