Matches in SemOpenAlex for { <https://semopenalex.org/work/W199046278> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W199046278 abstract "In the past two decades, Support Vector Machine (SVM) has become one of the most famous classification techniques. The optimal parameters in an SVM kernel are normally obtained by cross validation, which is a time-consuming process. In this paper, we propose to learn the parameters in an SVM kernel while solving the dual optimization problem. The new optimization problem can be solved iteratively as follows:(a) Fix the parameters in an SVM kernel; solve the variables αi in the dual optimization problem.(b) Fix the variables αi; solve the parameters in an SVM kernel by using the Newton-Raphson method.It can be shown that (a) can be optimized by using standard methods in training the SVM, while (b) can be solved iteratively by using the Newton-Raphson method. Experimental results conducted in this paper show that our proposed technique is feasible in practical pattern recognition applications." @default.
- W199046278 created "2016-06-24" @default.
- W199046278 creator A5016711912 @default.
- W199046278 creator A5046164638 @default.
- W199046278 creator A5088257057 @default.
- W199046278 creator A5088489565 @default.
- W199046278 date "2013-01-01" @default.
- W199046278 modified "2023-09-28" @default.
- W199046278 title "Support Vector Machine with Customized Kernel" @default.
- W199046278 cites W2042031583 @default.
- W199046278 cites W2050580711 @default.
- W199046278 cites W2117853853 @default.
- W199046278 cites W2129276048 @default.
- W199046278 cites W2153635508 @default.
- W199046278 cites W2156909104 @default.
- W199046278 doi "https://doi.org/10.1007/978-3-642-39065-4_32" @default.
- W199046278 hasPublicationYear "2013" @default.
- W199046278 type Work @default.
- W199046278 sameAs 199046278 @default.
- W199046278 citedByCount "0" @default.
- W199046278 crossrefType "book-chapter" @default.
- W199046278 hasAuthorship W199046278A5016711912 @default.
- W199046278 hasAuthorship W199046278A5046164638 @default.
- W199046278 hasAuthorship W199046278A5088257057 @default.
- W199046278 hasAuthorship W199046278A5088489565 @default.
- W199046278 hasConcept C11413529 @default.
- W199046278 hasConcept C114614502 @default.
- W199046278 hasConcept C119857082 @default.
- W199046278 hasConcept C122280245 @default.
- W199046278 hasConcept C12267149 @default.
- W199046278 hasConcept C124952713 @default.
- W199046278 hasConcept C126255220 @default.
- W199046278 hasConcept C142362112 @default.
- W199046278 hasConcept C145828037 @default.
- W199046278 hasConcept C153180895 @default.
- W199046278 hasConcept C154945302 @default.
- W199046278 hasConcept C160446489 @default.
- W199046278 hasConcept C2780980858 @default.
- W199046278 hasConcept C33923547 @default.
- W199046278 hasConcept C41008148 @default.
- W199046278 hasConcept C74193536 @default.
- W199046278 hasConcept C75866337 @default.
- W199046278 hasConceptScore W199046278C11413529 @default.
- W199046278 hasConceptScore W199046278C114614502 @default.
- W199046278 hasConceptScore W199046278C119857082 @default.
- W199046278 hasConceptScore W199046278C122280245 @default.
- W199046278 hasConceptScore W199046278C12267149 @default.
- W199046278 hasConceptScore W199046278C124952713 @default.
- W199046278 hasConceptScore W199046278C126255220 @default.
- W199046278 hasConceptScore W199046278C142362112 @default.
- W199046278 hasConceptScore W199046278C145828037 @default.
- W199046278 hasConceptScore W199046278C153180895 @default.
- W199046278 hasConceptScore W199046278C154945302 @default.
- W199046278 hasConceptScore W199046278C160446489 @default.
- W199046278 hasConceptScore W199046278C2780980858 @default.
- W199046278 hasConceptScore W199046278C33923547 @default.
- W199046278 hasConceptScore W199046278C41008148 @default.
- W199046278 hasConceptScore W199046278C74193536 @default.
- W199046278 hasConceptScore W199046278C75866337 @default.
- W199046278 hasLocation W1990462781 @default.
- W199046278 hasOpenAccess W199046278 @default.
- W199046278 hasPrimaryLocation W1990462781 @default.
- W199046278 hasRelatedWork W1884732276 @default.
- W199046278 hasRelatedWork W2034400234 @default.
- W199046278 hasRelatedWork W2077808175 @default.
- W199046278 hasRelatedWork W2110280485 @default.
- W199046278 hasRelatedWork W2293524007 @default.
- W199046278 hasRelatedWork W2354571324 @default.
- W199046278 hasRelatedWork W2354996878 @default.
- W199046278 hasRelatedWork W2356354660 @default.
- W199046278 hasRelatedWork W2359597686 @default.
- W199046278 hasRelatedWork W2362870691 @default.
- W199046278 hasRelatedWork W2364385512 @default.
- W199046278 hasRelatedWork W2368399438 @default.
- W199046278 hasRelatedWork W2377532839 @default.
- W199046278 hasRelatedWork W2383010748 @default.
- W199046278 hasRelatedWork W2389086981 @default.
- W199046278 hasRelatedWork W2609765694 @default.
- W199046278 hasRelatedWork W2766626804 @default.
- W199046278 hasRelatedWork W2798996733 @default.
- W199046278 hasRelatedWork W2898736752 @default.
- W199046278 hasRelatedWork W1565526444 @default.
- W199046278 isParatext "false" @default.
- W199046278 isRetracted "false" @default.
- W199046278 magId "199046278" @default.
- W199046278 workType "book-chapter" @default.