Matches in SemOpenAlex for { <https://semopenalex.org/work/W2083669650> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W2083669650 endingPage "2183" @default.
- W2083669650 startingPage "2173" @default.
- W2083669650 abstract "With increasing of the number of training examples, training time for support vector regression machine augments greatly. In this paper we develop a method to cut the training time by reducing the number of training examples based on the observation that support vector’s target value is usually a local extremum or near extremum. The proposed method first extracts extremal examples from the full training set, and then the extracted examples are used to train a support vector regression machine. Numerical results show that the proposed method can reduce training time of support regression machine considerably and the obtained model has comparable generalization capability with that trained on the full training set." @default.
- W2083669650 created "2016-06-24" @default.
- W2083669650 creator A5024880206 @default.
- W2083669650 creator A5075815246 @default.
- W2083669650 date "2007-12-01" @default.
- W2083669650 modified "2023-09-29" @default.
- W2083669650 title "Reducing examples to accelerate support vector regression" @default.
- W2083669650 cites W1879377151 @default.
- W2083669650 cites W2055271147 @default.
- W2083669650 cites W2108995755 @default.
- W2083669650 cites W2115076892 @default.
- W2083669650 cites W2122284941 @default.
- W2083669650 cites W2156512439 @default.
- W2083669650 cites W2158994553 @default.
- W2083669650 cites W4244864805 @default.
- W2083669650 cites W63017665 @default.
- W2083669650 doi "https://doi.org/10.1016/j.patrec.2007.04.017" @default.
- W2083669650 hasPublicationYear "2007" @default.
- W2083669650 type Work @default.
- W2083669650 sameAs 2083669650 @default.
- W2083669650 citedByCount "39" @default.
- W2083669650 countsByYear W20836696502012 @default.
- W2083669650 countsByYear W20836696502013 @default.
- W2083669650 countsByYear W20836696502015 @default.
- W2083669650 countsByYear W20836696502016 @default.
- W2083669650 countsByYear W20836696502017 @default.
- W2083669650 countsByYear W20836696502018 @default.
- W2083669650 countsByYear W20836696502019 @default.
- W2083669650 countsByYear W20836696502020 @default.
- W2083669650 countsByYear W20836696502022 @default.
- W2083669650 countsByYear W20836696502023 @default.
- W2083669650 crossrefType "journal-article" @default.
- W2083669650 hasAuthorship W2083669650A5024880206 @default.
- W2083669650 hasAuthorship W2083669650A5075815246 @default.
- W2083669650 hasConcept C105795698 @default.
- W2083669650 hasConcept C10719679 @default.
- W2083669650 hasConcept C119857082 @default.
- W2083669650 hasConcept C121332964 @default.
- W2083669650 hasConcept C12267149 @default.
- W2083669650 hasConcept C125168437 @default.
- W2083669650 hasConcept C134306372 @default.
- W2083669650 hasConcept C14948415 @default.
- W2083669650 hasConcept C152877465 @default.
- W2083669650 hasConcept C153294291 @default.
- W2083669650 hasConcept C154945302 @default.
- W2083669650 hasConcept C177148314 @default.
- W2083669650 hasConcept C177264268 @default.
- W2083669650 hasConcept C199360897 @default.
- W2083669650 hasConcept C2776291640 @default.
- W2083669650 hasConcept C2777211547 @default.
- W2083669650 hasConcept C33923547 @default.
- W2083669650 hasConcept C41008148 @default.
- W2083669650 hasConcept C51632099 @default.
- W2083669650 hasConcept C83546350 @default.
- W2083669650 hasConceptScore W2083669650C105795698 @default.
- W2083669650 hasConceptScore W2083669650C10719679 @default.
- W2083669650 hasConceptScore W2083669650C119857082 @default.
- W2083669650 hasConceptScore W2083669650C121332964 @default.
- W2083669650 hasConceptScore W2083669650C12267149 @default.
- W2083669650 hasConceptScore W2083669650C125168437 @default.
- W2083669650 hasConceptScore W2083669650C134306372 @default.
- W2083669650 hasConceptScore W2083669650C14948415 @default.
- W2083669650 hasConceptScore W2083669650C152877465 @default.
- W2083669650 hasConceptScore W2083669650C153294291 @default.
- W2083669650 hasConceptScore W2083669650C154945302 @default.
- W2083669650 hasConceptScore W2083669650C177148314 @default.
- W2083669650 hasConceptScore W2083669650C177264268 @default.
- W2083669650 hasConceptScore W2083669650C199360897 @default.
- W2083669650 hasConceptScore W2083669650C2776291640 @default.
- W2083669650 hasConceptScore W2083669650C2777211547 @default.
- W2083669650 hasConceptScore W2083669650C33923547 @default.
- W2083669650 hasConceptScore W2083669650C41008148 @default.
- W2083669650 hasConceptScore W2083669650C51632099 @default.
- W2083669650 hasConceptScore W2083669650C83546350 @default.
- W2083669650 hasIssue "16" @default.
- W2083669650 hasLocation W20836696501 @default.
- W2083669650 hasOpenAccess W2083669650 @default.
- W2083669650 hasPrimaryLocation W20836696501 @default.
- W2083669650 hasRelatedWork W147281455 @default.
- W2083669650 hasRelatedWork W2102907099 @default.
- W2083669650 hasRelatedWork W2349452475 @default.
- W2083669650 hasRelatedWork W2387950288 @default.
- W2083669650 hasRelatedWork W2390299251 @default.
- W2083669650 hasRelatedWork W2539940072 @default.
- W2083669650 hasRelatedWork W2783642721 @default.
- W2083669650 hasRelatedWork W2993844776 @default.
- W2083669650 hasRelatedWork W4291214623 @default.
- W2083669650 hasRelatedWork W6229082 @default.
- W2083669650 hasVolume "28" @default.
- W2083669650 isParatext "false" @default.
- W2083669650 isRetracted "false" @default.
- W2083669650 magId "2083669650" @default.
- W2083669650 workType "article" @default.