Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790277807> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2790277807 endingPage "2241" @default.
- W2790277807 startingPage "2230" @default.
- W2790277807 abstract "Incremental learning is one of the most effective methods of learning accumulated data and large-scale data. The newly increased samples of the previously known works on incremental learning are usually independent and identically distributed. To study how dependent sampling methods influence the learning ability of incremental support vector machines (ISVM) algorithm, in this paper we introduce an ISVM based on Markov resampling (MR-ISVM), and give the experimental research on the learning ability of the MR-ISVM algorithm. The experimental results indicate that the MR-ISVM algorithm has not only smaller misclassification rates and sparser of the obtained classifiers, but also less total time of sampling and training compared to ISVM based on randomly independent sampling. We also compare it with other ISVM algorithms." @default.
- W2790277807 created "2018-03-29" @default.
- W2790277807 creator A5008826095 @default.
- W2790277807 creator A5023656131 @default.
- W2790277807 creator A5036030486 @default.
- W2790277807 creator A5078058840 @default.
- W2790277807 creator A5078602884 @default.
- W2790277807 creator A5085140523 @default.
- W2790277807 date "2019-11-01" @default.
- W2790277807 modified "2023-10-16" @default.
- W2790277807 title "New Incremental Learning Algorithm With Support Vector Machines" @default.
- W2790277807 cites W1827175191 @default.
- W2790277807 cites W1972615020 @default.
- W2790277807 cites W1986280275 @default.
- W2790277807 cites W1995713768 @default.
- W2790277807 cites W2010353172 @default.
- W2790277807 cites W2016647824 @default.
- W2790277807 cites W2021440127 @default.
- W2790277807 cites W2023163512 @default.
- W2790277807 cites W2023530265 @default.
- W2790277807 cites W2033855314 @default.
- W2790277807 cites W2037307005 @default.
- W2790277807 cites W2047278710 @default.
- W2790277807 cites W2058402854 @default.
- W2790277807 cites W2066982195 @default.
- W2790277807 cites W2073522055 @default.
- W2790277807 cites W2106462908 @default.
- W2790277807 cites W2109445534 @default.
- W2790277807 cites W2110652811 @default.
- W2790277807 cites W2112531253 @default.
- W2790277807 cites W2124101897 @default.
- W2790277807 cites W2132641846 @default.
- W2790277807 cites W2142563104 @default.
- W2790277807 cites W2161976581 @default.
- W2790277807 cites W2273260097 @default.
- W2790277807 cites W2479575276 @default.
- W2790277807 doi "https://doi.org/10.1109/tsmc.2018.2791511" @default.
- W2790277807 hasPublicationYear "2019" @default.
- W2790277807 type Work @default.
- W2790277807 sameAs 2790277807 @default.
- W2790277807 citedByCount "52" @default.
- W2790277807 countsByYear W27902778072019 @default.
- W2790277807 countsByYear W27902778072020 @default.
- W2790277807 countsByYear W27902778072021 @default.
- W2790277807 countsByYear W27902778072022 @default.
- W2790277807 countsByYear W27902778072023 @default.
- W2790277807 crossrefType "journal-article" @default.
- W2790277807 hasAuthorship W2790277807A5008826095 @default.
- W2790277807 hasAuthorship W2790277807A5023656131 @default.
- W2790277807 hasAuthorship W2790277807A5036030486 @default.
- W2790277807 hasAuthorship W2790277807A5078058840 @default.
- W2790277807 hasAuthorship W2790277807A5078602884 @default.
- W2790277807 hasAuthorship W2790277807A5085140523 @default.
- W2790277807 hasConcept C11413529 @default.
- W2790277807 hasConcept C119857082 @default.
- W2790277807 hasConcept C12267149 @default.
- W2790277807 hasConcept C154945302 @default.
- W2790277807 hasConcept C2780735816 @default.
- W2790277807 hasConcept C41008148 @default.
- W2790277807 hasConceptScore W2790277807C11413529 @default.
- W2790277807 hasConceptScore W2790277807C119857082 @default.
- W2790277807 hasConceptScore W2790277807C12267149 @default.
- W2790277807 hasConceptScore W2790277807C154945302 @default.
- W2790277807 hasConceptScore W2790277807C2780735816 @default.
- W2790277807 hasConceptScore W2790277807C41008148 @default.
- W2790277807 hasFunder F4320321001 @default.
- W2790277807 hasFunder F4320322186 @default.
- W2790277807 hasFunder F4320334593 @default.
- W2790277807 hasIssue "11" @default.
- W2790277807 hasLocation W27902778071 @default.
- W2790277807 hasOpenAccess W2790277807 @default.
- W2790277807 hasPrimaryLocation W27902778071 @default.
- W2790277807 hasRelatedWork W1996541855 @default.
- W2790277807 hasRelatedWork W2101819884 @default.
- W2790277807 hasRelatedWork W2803710604 @default.
- W2790277807 hasRelatedWork W2937631562 @default.
- W2790277807 hasRelatedWork W2979979539 @default.
- W2790277807 hasRelatedWork W3127425528 @default.
- W2790277807 hasRelatedWork W3136979370 @default.
- W2790277807 hasRelatedWork W3194539120 @default.
- W2790277807 hasRelatedWork W3195168932 @default.
- W2790277807 hasRelatedWork W4205958290 @default.
- W2790277807 hasVolume "49" @default.
- W2790277807 isParatext "false" @default.
- W2790277807 isRetracted "false" @default.
- W2790277807 magId "2790277807" @default.
- W2790277807 workType "article" @default.