Matches in SemOpenAlex for { <https://semopenalex.org/work/W1988569968> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W1988569968 endingPage "128" @default.
- W1988569968 startingPage "120" @default.
- W1988569968 abstract "Recent research indicates that the standard Minimum Enclosing Ball (MEB) or the center-constrained MEB can be used for effective training on large datasets by employing the core vector machine (CVM) or generalized CVM (GCVM). However, for another extensively-used MEB, i.e., MEB with total soft margin (T-MEB for brevity), we cannot directly employ the CVM or GCVM to realize its fast training for large datasets due to the fact that the involved inequality constraint is violated. In this paper, a fast learning algorithm called FL-TMEB for scaling up T-MEB is presented. First, FL-TMEB slightly relaxes the constraints in TMEB such that it can be equivalent to the corresponding center-constrained MEB, which can be solved with the corresponding Core Set (CS) by CVM. Then, with the help of the sub-optimal solution theorem about T-MEB, FL-TMEB attempts to obtain the extended core set (ECS) by including the neighbors of some samples in the CS into the ECS. Finally, FL-TMEB takes the optimal weights of ECS as the approximation solution of T-MEB. Experimental results on UCI and USPS datasets demonstrate that the proposed method is effective." @default.
- W1988569968 created "2016-06-24" @default.
- W1988569968 creator A5003183751 @default.
- W1988569968 creator A5043016512 @default.
- W1988569968 creator A5051886730 @default.
- W1988569968 creator A5088395357 @default.
- W1988569968 date "2012-12-01" @default.
- W1988569968 modified "2023-10-02" @default.
- W1988569968 title "Scaling up minimum enclosing ball with total soft margin for training on large datasets" @default.
- W1988569968 cites W1970088130 @default.
- W1988569968 cites W1983570277 @default.
- W1988569968 cites W2032023325 @default.
- W1988569968 cites W2053186076 @default.
- W1988569968 cites W2053519393 @default.
- W1988569968 cites W2059981627 @default.
- W1988569968 cites W2065582632 @default.
- W1988569968 cites W2100659887 @default.
- W1988569968 cites W2114269623 @default.
- W1988569968 cites W2114296668 @default.
- W1988569968 cites W2141270971 @default.
- W1988569968 cites W2152545736 @default.
- W1988569968 cites W4239510810 @default.
- W1988569968 doi "https://doi.org/10.1016/j.neunet.2012.09.013" @default.
- W1988569968 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23103971" @default.
- W1988569968 hasPublicationYear "2012" @default.
- W1988569968 type Work @default.
- W1988569968 sameAs 1988569968 @default.
- W1988569968 citedByCount "5" @default.
- W1988569968 countsByYear W19885699682016 @default.
- W1988569968 countsByYear W19885699682020 @default.
- W1988569968 countsByYear W19885699682021 @default.
- W1988569968 countsByYear W19885699682023 @default.
- W1988569968 crossrefType "journal-article" @default.
- W1988569968 hasAuthorship W1988569968A5003183751 @default.
- W1988569968 hasAuthorship W1988569968A5043016512 @default.
- W1988569968 hasAuthorship W1988569968A5051886730 @default.
- W1988569968 hasAuthorship W1988569968A5088395357 @default.
- W1988569968 hasConcept C11413529 @default.
- W1988569968 hasConcept C119857082 @default.
- W1988569968 hasConcept C122041747 @default.
- W1988569968 hasConcept C126255220 @default.
- W1988569968 hasConcept C154945302 @default.
- W1988569968 hasConcept C2524010 @default.
- W1988569968 hasConcept C33923547 @default.
- W1988569968 hasConcept C41008148 @default.
- W1988569968 hasConcept C51632099 @default.
- W1988569968 hasConcept C774472 @default.
- W1988569968 hasConcept C99844830 @default.
- W1988569968 hasConceptScore W1988569968C11413529 @default.
- W1988569968 hasConceptScore W1988569968C119857082 @default.
- W1988569968 hasConceptScore W1988569968C122041747 @default.
- W1988569968 hasConceptScore W1988569968C126255220 @default.
- W1988569968 hasConceptScore W1988569968C154945302 @default.
- W1988569968 hasConceptScore W1988569968C2524010 @default.
- W1988569968 hasConceptScore W1988569968C33923547 @default.
- W1988569968 hasConceptScore W1988569968C41008148 @default.
- W1988569968 hasConceptScore W1988569968C51632099 @default.
- W1988569968 hasConceptScore W1988569968C774472 @default.
- W1988569968 hasConceptScore W1988569968C99844830 @default.
- W1988569968 hasLocation W19885699681 @default.
- W1988569968 hasLocation W19885699682 @default.
- W1988569968 hasOpenAccess W1988569968 @default.
- W1988569968 hasPrimaryLocation W19885699681 @default.
- W1988569968 hasRelatedWork W1970843405 @default.
- W1988569968 hasRelatedWork W2274227655 @default.
- W1988569968 hasRelatedWork W2315642246 @default.
- W1988569968 hasRelatedWork W2378028731 @default.
- W1988569968 hasRelatedWork W2386767533 @default.
- W1988569968 hasRelatedWork W2621393357 @default.
- W1988569968 hasRelatedWork W2739665119 @default.
- W1988569968 hasRelatedWork W2796547653 @default.
- W1988569968 hasRelatedWork W2951109249 @default.
- W1988569968 hasRelatedWork W790288462 @default.
- W1988569968 hasVolume "36" @default.
- W1988569968 isParatext "false" @default.
- W1988569968 isRetracted "false" @default.
- W1988569968 magId "1988569968" @default.
- W1988569968 workType "article" @default.