Matches in SemOpenAlex for { <https://semopenalex.org/work/W2997298311> ?p ?o ?g. }
- W2997298311 endingPage "107449" @default.
- W2997298311 startingPage "107449" @default.
- W2997298311 abstract "Least square twin multi-class support vector machine (LST-KSVC) is an efficient algorithm under “one-versus-one-versus-rest” approach. However, it has two drawbacks. One is the use of quadratic loss punishing the rest class samples causes both decision hyperplanes passing through the rest class, resulting in some rest class samples misclassified. The other is LST-KSVC gives the same weight to normal samples and outliers, which may cause sensitivity to outliers. To overcome these drawbacks, this paper presents a novel classifier called robust weighted linear loss based twin multi-class support vector regression (WLT-KSVC). First, WLT-KSVC punishes the rest class samples by a weighted linear loss with two advantages: to put the rest class samples in a reasonable region to improve classification accuracy, and to reduce the impact of outliers in the rest class. Second, WLT-KSVC reduces the impact of outliers in positive and negative classes by giving different samples different weights obtained by kernel-based possibilistic c-means algorithm. Finally, WLT-KSVC adds a regularization term in the objection function to improve model generalization ability. Notably, low computational complexity makes WLT-KSVC suitable for solving large-scale problems. Experimental results on UCI datasets and NDC datasets demonstrate that our WLT-KSVC achieves better performance than previous methods." @default.
- W2997298311 created "2020-01-10" @default.
- W2997298311 creator A5005798718 @default.
- W2997298311 creator A5043753704 @default.
- W2997298311 creator A5044255077 @default.
- W2997298311 creator A5069610447 @default.
- W2997298311 date "2020-05-01" @default.
- W2997298311 modified "2023-09-25" @default.
- W2997298311 title "Robust weighted linear loss twin multi-class support vector regression for large-scale classification" @default.
- W2997298311 cites W1987769400 @default.
- W2997298311 cites W1996490503 @default.
- W2997298311 cites W2001474526 @default.
- W2997298311 cites W2019184604 @default.
- W2997298311 cites W2049292654 @default.
- W2997298311 cites W2065755229 @default.
- W2997298311 cites W2076300071 @default.
- W2997298311 cites W2081130435 @default.
- W2997298311 cites W2090089568 @default.
- W2997298311 cites W2092300136 @default.
- W2997298311 cites W2115077250 @default.
- W2997298311 cites W2120688485 @default.
- W2997298311 cites W2128733372 @default.
- W2997298311 cites W2136824894 @default.
- W2997298311 cites W2170860445 @default.
- W2997298311 cites W2220660951 @default.
- W2997298311 cites W2249375231 @default.
- W2997298311 cites W2270160110 @default.
- W2997298311 cites W2315111930 @default.
- W2997298311 cites W2383612325 @default.
- W2997298311 cites W2475230683 @default.
- W2997298311 cites W2584571971 @default.
- W2997298311 cites W2586733088 @default.
- W2997298311 cites W2595327353 @default.
- W2997298311 cites W2761767829 @default.
- W2997298311 cites W2793357326 @default.
- W2997298311 cites W2806319584 @default.
- W2997298311 cites W2810901642 @default.
- W2997298311 cites W2883946950 @default.
- W2997298311 cites W2892419861 @default.
- W2997298311 cites W2898564981 @default.
- W2997298311 cites W2977466257 @default.
- W2997298311 cites W4239510810 @default.
- W2997298311 cites W4241727697 @default.
- W2997298311 cites W632636698 @default.
- W2997298311 doi "https://doi.org/10.1016/j.sigpro.2019.107449" @default.
- W2997298311 hasPublicationYear "2020" @default.
- W2997298311 type Work @default.
- W2997298311 sameAs 2997298311 @default.
- W2997298311 citedByCount "8" @default.
- W2997298311 countsByYear W29972983112020 @default.
- W2997298311 countsByYear W29972983112021 @default.
- W2997298311 countsByYear W29972983112022 @default.
- W2997298311 countsByYear W29972983112023 @default.
- W2997298311 crossrefType "journal-article" @default.
- W2997298311 hasAuthorship W2997298311A5005798718 @default.
- W2997298311 hasAuthorship W2997298311A5043753704 @default.
- W2997298311 hasAuthorship W2997298311A5044255077 @default.
- W2997298311 hasAuthorship W2997298311A5069610447 @default.
- W2997298311 hasConcept C11413529 @default.
- W2997298311 hasConcept C119857082 @default.
- W2997298311 hasConcept C12267149 @default.
- W2997298311 hasConcept C153180895 @default.
- W2997298311 hasConcept C154945302 @default.
- W2997298311 hasConcept C164705383 @default.
- W2997298311 hasConcept C2524010 @default.
- W2997298311 hasConcept C33923547 @default.
- W2997298311 hasConcept C41008148 @default.
- W2997298311 hasConcept C68693459 @default.
- W2997298311 hasConcept C71924100 @default.
- W2997298311 hasConcept C77265313 @default.
- W2997298311 hasConcept C79337645 @default.
- W2997298311 hasConceptScore W2997298311C11413529 @default.
- W2997298311 hasConceptScore W2997298311C119857082 @default.
- W2997298311 hasConceptScore W2997298311C12267149 @default.
- W2997298311 hasConceptScore W2997298311C153180895 @default.
- W2997298311 hasConceptScore W2997298311C154945302 @default.
- W2997298311 hasConceptScore W2997298311C164705383 @default.
- W2997298311 hasConceptScore W2997298311C2524010 @default.
- W2997298311 hasConceptScore W2997298311C33923547 @default.
- W2997298311 hasConceptScore W2997298311C41008148 @default.
- W2997298311 hasConceptScore W2997298311C68693459 @default.
- W2997298311 hasConceptScore W2997298311C71924100 @default.
- W2997298311 hasConceptScore W2997298311C77265313 @default.
- W2997298311 hasConceptScore W2997298311C79337645 @default.
- W2997298311 hasFunder F4320321001 @default.
- W2997298311 hasLocation W29972983111 @default.
- W2997298311 hasOpenAccess W2997298311 @default.
- W2997298311 hasPrimaryLocation W29972983111 @default.
- W2997298311 hasRelatedWork W2041399278 @default.
- W2997298311 hasRelatedWork W2056016498 @default.
- W2997298311 hasRelatedWork W2128276860 @default.
- W2997298311 hasRelatedWork W2136184105 @default.
- W2997298311 hasRelatedWork W2336974148 @default.
- W2997298311 hasRelatedWork W2350458913 @default.
- W2997298311 hasRelatedWork W2391157545 @default.
- W2997298311 hasRelatedWork W3013515612 @default.
- W2997298311 hasRelatedWork W2187500075 @default.
- W2997298311 hasRelatedWork W2345184372 @default.