Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024961056> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2024961056 abstract "Traditional machine learning and data mining algorithms usually assume that the training and test data have the same feature space and data distribution, but in the real application this assumption is often difficult to establish, and always lead the existing model to outdate. As a new learning mechanism, transfer learning can solve this problem effectively, in this paper, we will propose an improved transfer learning algorithm for document categorization based on data sets reconstruct, we also describe the main idea and the step of the algorithm, then use experiment to test the algorithm and compare it with other algorithms, the result of experiment proves the algorithm we proposed in this paper is better than the others in some extent." @default.
- W2024961056 created "2016-06-24" @default.
- W2024961056 creator A5025003548 @default.
- W2024961056 creator A5090539201 @default.
- W2024961056 date "2012-07-01" @default.
- W2024961056 modified "2023-09-25" @default.
- W2024961056 title "An improved transfer learning algorithm for document categorization based on data sets reconstruction" @default.
- W2024961056 cites W1978394996 @default.
- W2024961056 cites W1994966918 @default.
- W2024961056 cites W2113765418 @default.
- W2024961056 cites W2122838776 @default.
- W2024961056 cites W2156940638 @default.
- W2024961056 cites W2165698076 @default.
- W2024961056 cites W3020369705 @default.
- W2024961056 doi "https://doi.org/10.1109/wcica.2012.6357945" @default.
- W2024961056 hasPublicationYear "2012" @default.
- W2024961056 type Work @default.
- W2024961056 sameAs 2024961056 @default.
- W2024961056 citedByCount "3" @default.
- W2024961056 countsByYear W20249610562019 @default.
- W2024961056 countsByYear W20249610562020 @default.
- W2024961056 crossrefType "proceedings-article" @default.
- W2024961056 hasAuthorship W2024961056A5025003548 @default.
- W2024961056 hasAuthorship W2024961056A5090539201 @default.
- W2024961056 hasConcept C11413529 @default.
- W2024961056 hasConcept C117765406 @default.
- W2024961056 hasConcept C119857082 @default.
- W2024961056 hasConcept C124101348 @default.
- W2024961056 hasConcept C138885662 @default.
- W2024961056 hasConcept C150899416 @default.
- W2024961056 hasConcept C154945302 @default.
- W2024961056 hasConcept C16910744 @default.
- W2024961056 hasConcept C17061570 @default.
- W2024961056 hasConcept C199360897 @default.
- W2024961056 hasConcept C2776401178 @default.
- W2024961056 hasConcept C2986744138 @default.
- W2024961056 hasConcept C41008148 @default.
- W2024961056 hasConcept C41895202 @default.
- W2024961056 hasConcept C8038995 @default.
- W2024961056 hasConcept C94124525 @default.
- W2024961056 hasConcept C95627357 @default.
- W2024961056 hasConceptScore W2024961056C11413529 @default.
- W2024961056 hasConceptScore W2024961056C117765406 @default.
- W2024961056 hasConceptScore W2024961056C119857082 @default.
- W2024961056 hasConceptScore W2024961056C124101348 @default.
- W2024961056 hasConceptScore W2024961056C138885662 @default.
- W2024961056 hasConceptScore W2024961056C150899416 @default.
- W2024961056 hasConceptScore W2024961056C154945302 @default.
- W2024961056 hasConceptScore W2024961056C16910744 @default.
- W2024961056 hasConceptScore W2024961056C17061570 @default.
- W2024961056 hasConceptScore W2024961056C199360897 @default.
- W2024961056 hasConceptScore W2024961056C2776401178 @default.
- W2024961056 hasConceptScore W2024961056C2986744138 @default.
- W2024961056 hasConceptScore W2024961056C41008148 @default.
- W2024961056 hasConceptScore W2024961056C41895202 @default.
- W2024961056 hasConceptScore W2024961056C8038995 @default.
- W2024961056 hasConceptScore W2024961056C94124525 @default.
- W2024961056 hasConceptScore W2024961056C95627357 @default.
- W2024961056 hasLocation W20249610561 @default.
- W2024961056 hasOpenAccess W2024961056 @default.
- W2024961056 hasPrimaryLocation W20249610561 @default.
- W2024961056 hasRelatedWork W1512212545 @default.
- W2024961056 hasRelatedWork W2081929899 @default.
- W2024961056 hasRelatedWork W2114315281 @default.
- W2024961056 hasRelatedWork W2188298844 @default.
- W2024961056 hasRelatedWork W2808991731 @default.
- W2024961056 hasRelatedWork W2830164605 @default.
- W2024961056 hasRelatedWork W2955844770 @default.
- W2024961056 hasRelatedWork W2969402572 @default.
- W2024961056 hasRelatedWork W2982878357 @default.
- W2024961056 hasRelatedWork W3082552041 @default.
- W2024961056 hasRelatedWork W3095538999 @default.
- W2024961056 hasRelatedWork W3108584022 @default.
- W2024961056 hasRelatedWork W3120378877 @default.
- W2024961056 hasRelatedWork W3157213063 @default.
- W2024961056 hasRelatedWork W3158915878 @default.
- W2024961056 hasRelatedWork W3184222350 @default.
- W2024961056 hasRelatedWork W3189506724 @default.
- W2024961056 hasRelatedWork W3196155444 @default.
- W2024961056 hasRelatedWork W2184538107 @default.
- W2024961056 hasRelatedWork W3136934070 @default.
- W2024961056 isParatext "false" @default.
- W2024961056 isRetracted "false" @default.
- W2024961056 magId "2024961056" @default.
- W2024961056 workType "article" @default.