Matches in SemOpenAlex for { <https://semopenalex.org/work/W2109013574> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2109013574 abstract "Sequential Minimal Optimization (SMO) is one of the state-of-the-art solutions for Support Vector Machines (SVM) training. SMO sequentially picks a pair of training samples for joint optimization, which minimizes the usage of memory. However, to find such two samples, SMO uses one outer loop through the entire training set looking for a sample which violates the KKT conditions, and one inner loop to look for a sample which heuristically maximizes the increase of the SVM objective function. While there is limited room for improvement in the inner loop, the outer loop can be reduced significantly if we can locate a small subset of training samples which potentially contains the Support Vectors (SVs).We present a Fisher Discriminant Analysis(FDA) based approach to locate potential SVs in a small core subset, which enables the SVM training to be focused effectively on a promising small region instead of the entire SV-sparse training set. Nevertheless, the training points outside the subset can not be blindly ignored. The method iteratively trains the classifier on the core subset and tune it using the remainder subset. Experimental results show that the approach significantly speeds up SMO training by reducing kernel evaluations, which dominates the training time. It converges much faster to optimal solution with much fewer iterations than standard SMO." @default.
- W2109013574 created "2016-06-24" @default.
- W2109013574 creator A5009187654 @default.
- W2109013574 creator A5034597831 @default.
- W2109013574 date "2011-07-01" @default.
- W2109013574 modified "2023-10-16" @default.
- W2109013574 title "Locate potential Support Vectors for faster Sequential Minimal Optimization" @default.
- W2109013574 cites W1509188292 @default.
- W2109013574 cites W1621799579 @default.
- W2109013574 cites W2001619934 @default.
- W2109013574 cites W2112796928 @default.
- W2109013574 cites W2115474889 @default.
- W2109013574 cites W2142114945 @default.
- W2109013574 cites W2150796457 @default.
- W2109013574 cites W2151040995 @default.
- W2109013574 cites W91477260 @default.
- W2109013574 doi "https://doi.org/10.1109/icnc.2011.6022107" @default.
- W2109013574 hasPublicationYear "2011" @default.
- W2109013574 type Work @default.
- W2109013574 sameAs 2109013574 @default.
- W2109013574 citedByCount "2" @default.
- W2109013574 countsByYear W21090135742013 @default.
- W2109013574 countsByYear W21090135742023 @default.
- W2109013574 crossrefType "proceedings-article" @default.
- W2109013574 hasAuthorship W2109013574A5009187654 @default.
- W2109013574 hasAuthorship W2109013574A5034597831 @default.
- W2109013574 hasConcept C10719679 @default.
- W2109013574 hasConcept C11413529 @default.
- W2109013574 hasConcept C114614502 @default.
- W2109013574 hasConcept C119857082 @default.
- W2109013574 hasConcept C12267149 @default.
- W2109013574 hasConcept C126255220 @default.
- W2109013574 hasConcept C153180895 @default.
- W2109013574 hasConcept C154945302 @default.
- W2109013574 hasConcept C33923547 @default.
- W2109013574 hasConcept C41008148 @default.
- W2109013574 hasConcept C50454189 @default.
- W2109013574 hasConcept C51632099 @default.
- W2109013574 hasConcept C74193536 @default.
- W2109013574 hasConcept C78397625 @default.
- W2109013574 hasConceptScore W2109013574C10719679 @default.
- W2109013574 hasConceptScore W2109013574C11413529 @default.
- W2109013574 hasConceptScore W2109013574C114614502 @default.
- W2109013574 hasConceptScore W2109013574C119857082 @default.
- W2109013574 hasConceptScore W2109013574C12267149 @default.
- W2109013574 hasConceptScore W2109013574C126255220 @default.
- W2109013574 hasConceptScore W2109013574C153180895 @default.
- W2109013574 hasConceptScore W2109013574C154945302 @default.
- W2109013574 hasConceptScore W2109013574C33923547 @default.
- W2109013574 hasConceptScore W2109013574C41008148 @default.
- W2109013574 hasConceptScore W2109013574C50454189 @default.
- W2109013574 hasConceptScore W2109013574C51632099 @default.
- W2109013574 hasConceptScore W2109013574C74193536 @default.
- W2109013574 hasConceptScore W2109013574C78397625 @default.
- W2109013574 hasLocation W21090135741 @default.
- W2109013574 hasOpenAccess W2109013574 @default.
- W2109013574 hasPrimaryLocation W21090135741 @default.
- W2109013574 hasRelatedWork W1593868846 @default.
- W2109013574 hasRelatedWork W2076520961 @default.
- W2109013574 hasRelatedWork W2104358242 @default.
- W2109013574 hasRelatedWork W2141705618 @default.
- W2109013574 hasRelatedWork W2151306933 @default.
- W2109013574 hasRelatedWork W2187010386 @default.
- W2109013574 hasRelatedWork W2348964713 @default.
- W2109013574 hasRelatedWork W2373223180 @default.
- W2109013574 hasRelatedWork W2395454497 @default.
- W2109013574 hasRelatedWork W2149954712 @default.
- W2109013574 isParatext "false" @default.
- W2109013574 isRetracted "false" @default.
- W2109013574 magId "2109013574" @default.
- W2109013574 workType "article" @default.