Matches in SemOpenAlex for { <https://semopenalex.org/work/W1981658663> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W1981658663 endingPage "518" @default.
- W1981658663 startingPage "504" @default.
- W1981658663 abstract "In this paper, we propose a new framework called domain adaptation machine (DAM) for the multiple source domain adaption problem. Under this framework, we learn a robust decision function (referred to as target classifier) for label prediction of instances from the target domain by leveraging a set of base classifiers which are prelearned by using labeled instances either from the source domains or from the source domains and the target domain. With the base classifiers, we propose a new domain-dependent regularizer based on smoothness assumption, which enforces that the target classifier shares similar decision values with the relevant base classifiers on the unlabeled instances from the target domain. This newly proposed regularizer can be readily incorporated into many kernel methods (e.g., support vector machines (SVM), support vector regression, and least-squares SVM (LS-SVM)). For domain adaptation, we also develop two new domain adaptation methods referred to as FastDAM and UniverDAM. In FastDAM, we introduce our proposed domain-dependent regularizer into LS-SVM as well as employ a sparsity regularizer to learn a sparse target classifier with the support vectors only from the target domain, which thus makes the label prediction on any test instance very fast. In UniverDAM, we additionally make use of the instances from the source domains as Universum to further enhance the generalization ability of the target classifier. We evaluate our two methods on the challenging TRECIVD 2005 dataset for the large-scale video concept detection task as well as on the 20 newsgroups and email spam datasets for document retrieval. Comprehensive experiments demonstrate that FastDAM and UniverDAM outperform the existing multiple source domain adaptation methods for the two applications." @default.
- W1981658663 created "2016-06-24" @default.
- W1981658663 creator A5080093489 @default.
- W1981658663 creator A5082181536 @default.
- W1981658663 creator A5091587294 @default.
- W1981658663 date "2012-03-01" @default.
- W1981658663 modified "2023-10-06" @default.
- W1981658663 title "Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach" @default.
- W1981658663 cites W1964357740 @default.
- W1981658663 cites W1978920452 @default.
- W1981658663 cites W1990975153 @default.
- W1981658663 cites W2048679005 @default.
- W1981658663 cites W2062903088 @default.
- W1981658663 cites W2069057437 @default.
- W1981658663 cites W2089150756 @default.
- W1981658663 cites W2092012321 @default.
- W1981658663 cites W2099971677 @default.
- W1981658663 cites W2104094955 @default.
- W1981658663 cites W2108995755 @default.
- W1981658663 cites W2115403315 @default.
- W1981658663 cites W2120587290 @default.
- W1981658663 cites W2122662167 @default.
- W1981658663 cites W2148029428 @default.
- W1981658663 cites W2151388232 @default.
- W1981658663 cites W2158108973 @default.
- W1981658663 cites W2159570078 @default.
- W1981658663 cites W2164943005 @default.
- W1981658663 cites W2165698076 @default.
- W1981658663 cites W4232262564 @default.
- W1981658663 doi "https://doi.org/10.1109/tnnls.2011.2178556" @default.
- W1981658663 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24808555" @default.
- W1981658663 hasPublicationYear "2012" @default.
- W1981658663 type Work @default.
- W1981658663 sameAs 1981658663 @default.
- W1981658663 citedByCount "274" @default.
- W1981658663 countsByYear W19816586632012 @default.
- W1981658663 countsByYear W19816586632013 @default.
- W1981658663 countsByYear W19816586632014 @default.
- W1981658663 countsByYear W19816586632015 @default.
- W1981658663 countsByYear W19816586632016 @default.
- W1981658663 countsByYear W19816586632017 @default.
- W1981658663 countsByYear W19816586632018 @default.
- W1981658663 countsByYear W19816586632019 @default.
- W1981658663 countsByYear W19816586632020 @default.
- W1981658663 countsByYear W19816586632021 @default.
- W1981658663 countsByYear W19816586632022 @default.
- W1981658663 countsByYear W19816586632023 @default.
- W1981658663 crossrefType "journal-article" @default.
- W1981658663 hasAuthorship W1981658663A5080093489 @default.
- W1981658663 hasAuthorship W1981658663A5082181536 @default.
- W1981658663 hasAuthorship W1981658663A5091587294 @default.
- W1981658663 hasConcept C119857082 @default.
- W1981658663 hasConcept C12267149 @default.
- W1981658663 hasConcept C153180895 @default.
- W1981658663 hasConcept C154945302 @default.
- W1981658663 hasConcept C2776135515 @default.
- W1981658663 hasConcept C2776434776 @default.
- W1981658663 hasConcept C41008148 @default.
- W1981658663 hasConcept C95623464 @default.
- W1981658663 hasConceptScore W1981658663C119857082 @default.
- W1981658663 hasConceptScore W1981658663C12267149 @default.
- W1981658663 hasConceptScore W1981658663C153180895 @default.
- W1981658663 hasConceptScore W1981658663C154945302 @default.
- W1981658663 hasConceptScore W1981658663C2776135515 @default.
- W1981658663 hasConceptScore W1981658663C2776434776 @default.
- W1981658663 hasConceptScore W1981658663C41008148 @default.
- W1981658663 hasConceptScore W1981658663C95623464 @default.
- W1981658663 hasIssue "3" @default.
- W1981658663 hasLocation W19816586631 @default.
- W1981658663 hasLocation W19816586632 @default.
- W1981658663 hasOpenAccess W1981658663 @default.
- W1981658663 hasPrimaryLocation W19816586631 @default.
- W1981658663 hasRelatedWork W1996541855 @default.
- W1981658663 hasRelatedWork W2041399278 @default.
- W1981658663 hasRelatedWork W2056016498 @default.
- W1981658663 hasRelatedWork W2136184105 @default.
- W1981658663 hasRelatedWork W2336974148 @default.
- W1981658663 hasRelatedWork W2389470892 @default.
- W1981658663 hasRelatedWork W3013515612 @default.
- W1981658663 hasRelatedWork W3195168932 @default.
- W1981658663 hasRelatedWork W2187500075 @default.
- W1981658663 hasRelatedWork W2345184372 @default.
- W1981658663 hasVolume "23" @default.
- W1981658663 isParatext "false" @default.
- W1981658663 isRetracted "false" @default.
- W1981658663 magId "1981658663" @default.
- W1981658663 workType "article" @default.