Matches in SemOpenAlex for { <https://semopenalex.org/work/W2001159709> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W2001159709 abstract "The major goal in transfer learning is that the knowledge learned in one environment will help new tasks in another or changing environment. In this paper, a novel transfer learning approach is presented and the transfer knowledge will be applied to text categorization. First, we will learn the transfer knowledge from different category data respectively, and then, different classifiers will be constructed, final, transfer knowledge will guide other categorization task. We compared with SVM, K-NN and Centroid methods. Experiments showed that transfer learning method was effective and got a better performance in text categorization, it can help new tasks in another new environment or changing environment." @default.
- W2001159709 created "2016-06-24" @default.
- W2001159709 creator A5000121999 @default.
- W2001159709 creator A5045308705 @default.
- W2001159709 creator A5058150426 @default.
- W2001159709 creator A5066775159 @default.
- W2001159709 date "2010-10-01" @default.
- W2001159709 modified "2023-10-18" @default.
- W2001159709 title "Research on Transfer Learning Approach for Text Categorization" @default.
- W2001159709 cites W2000987725 @default.
- W2001159709 cites W2005422315 @default.
- W2001159709 cites W2053463056 @default.
- W2001159709 cites W2070808135 @default.
- W2001159709 cites W2107837808 @default.
- W2001159709 cites W2118020653 @default.
- W2001159709 cites W2122838776 @default.
- W2001159709 cites W2122922389 @default.
- W2001159709 cites W2129877315 @default.
- W2001159709 cites W2142827986 @default.
- W2001159709 cites W2146807976 @default.
- W2001159709 cites W2147179108 @default.
- W2001159709 cites W2149776783 @default.
- W2001159709 cites W312021071 @default.
- W2001159709 doi "https://doi.org/10.1109/aici.2010.94" @default.
- W2001159709 hasPublicationYear "2010" @default.
- W2001159709 type Work @default.
- W2001159709 sameAs 2001159709 @default.
- W2001159709 citedByCount "2" @default.
- W2001159709 countsByYear W20011597092013 @default.
- W2001159709 countsByYear W20011597092023 @default.
- W2001159709 crossrefType "proceedings-article" @default.
- W2001159709 hasAuthorship W2001159709A5000121999 @default.
- W2001159709 hasAuthorship W2001159709A5045308705 @default.
- W2001159709 hasAuthorship W2001159709A5058150426 @default.
- W2001159709 hasAuthorship W2001159709A5066775159 @default.
- W2001159709 hasConcept C150899416 @default.
- W2001159709 hasConcept C154945302 @default.
- W2001159709 hasConcept C204321447 @default.
- W2001159709 hasConcept C2986744138 @default.
- W2001159709 hasConcept C41008148 @default.
- W2001159709 hasConcept C94124525 @default.
- W2001159709 hasConceptScore W2001159709C150899416 @default.
- W2001159709 hasConceptScore W2001159709C154945302 @default.
- W2001159709 hasConceptScore W2001159709C204321447 @default.
- W2001159709 hasConceptScore W2001159709C2986744138 @default.
- W2001159709 hasConceptScore W2001159709C41008148 @default.
- W2001159709 hasConceptScore W2001159709C94124525 @default.
- W2001159709 hasLocation W20011597091 @default.
- W2001159709 hasOpenAccess W2001159709 @default.
- W2001159709 hasPrimaryLocation W20011597091 @default.
- W2001159709 hasRelatedWork W120966433 @default.
- W2001159709 hasRelatedWork W2040397200 @default.
- W2001159709 hasRelatedWork W2100661451 @default.
- W2001159709 hasRelatedWork W2262858430 @default.
- W2001159709 hasRelatedWork W2365213443 @default.
- W2001159709 hasRelatedWork W2385170969 @default.
- W2001159709 hasRelatedWork W2558223934 @default.
- W2001159709 hasRelatedWork W3013319096 @default.
- W2001159709 hasRelatedWork W3107474891 @default.
- W2001159709 hasRelatedWork W1793353708 @default.
- W2001159709 isParatext "false" @default.
- W2001159709 isRetracted "false" @default.
- W2001159709 magId "2001159709" @default.
- W2001159709 workType "article" @default.