Matches in SemOpenAlex for { <https://semopenalex.org/work/W166221275> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W166221275 abstract "We propose a new method for general gaussian kernel hyperparameters optimization for support vector regression. The hyperparameters are constrained to lie on a differentiable manifold. The proposed optimization technique is based on a gradient-like descent algorithm adapted to the geometrical structure of the manifold of symmetric positive-definite matrices. We compare the performance of our approach with the classical support vector regression on real world data sets. Experiments demonstrate that the optimization improves prediction accuracy and reduces the number of support vectors." @default.
- W166221275 created "2016-06-24" @default.
- W166221275 creator A5022883298 @default.
- W166221275 creator A5047285187 @default.
- W166221275 creator A5066400774 @default.
- W166221275 creator A5087789216 @default.
- W166221275 date "2013-01-01" @default.
- W166221275 modified "2023-10-17" @default.
- W166221275 title "Learning General Gaussian Kernel Hyperparameters for SVR" @default.
- W166221275 cites W1482684349 @default.
- W166221275 cites W2004785362 @default.
- W166221275 cites W2023320048 @default.
- W166221275 cites W2090224109 @default.
- W166221275 cites W3104323038 @default.
- W166221275 cites W4205293427 @default.
- W166221275 doi "https://doi.org/10.1007/978-3-642-40020-9_75" @default.
- W166221275 hasPublicationYear "2013" @default.
- W166221275 type Work @default.
- W166221275 sameAs 166221275 @default.
- W166221275 citedByCount "0" @default.
- W166221275 crossrefType "book-chapter" @default.
- W166221275 hasAuthorship W166221275A5022883298 @default.
- W166221275 hasAuthorship W166221275A5047285187 @default.
- W166221275 hasAuthorship W166221275A5066400774 @default.
- W166221275 hasAuthorship W166221275A5087789216 @default.
- W166221275 hasConcept C118615104 @default.
- W166221275 hasConcept C119857082 @default.
- W166221275 hasConcept C121332964 @default.
- W166221275 hasConcept C153180895 @default.
- W166221275 hasConcept C154945302 @default.
- W166221275 hasConcept C163716315 @default.
- W166221275 hasConcept C33923547 @default.
- W166221275 hasConcept C41008148 @default.
- W166221275 hasConcept C61326573 @default.
- W166221275 hasConcept C62520636 @default.
- W166221275 hasConcept C74193536 @default.
- W166221275 hasConcept C8642999 @default.
- W166221275 hasConceptScore W166221275C118615104 @default.
- W166221275 hasConceptScore W166221275C119857082 @default.
- W166221275 hasConceptScore W166221275C121332964 @default.
- W166221275 hasConceptScore W166221275C153180895 @default.
- W166221275 hasConceptScore W166221275C154945302 @default.
- W166221275 hasConceptScore W166221275C163716315 @default.
- W166221275 hasConceptScore W166221275C33923547 @default.
- W166221275 hasConceptScore W166221275C41008148 @default.
- W166221275 hasConceptScore W166221275C61326573 @default.
- W166221275 hasConceptScore W166221275C62520636 @default.
- W166221275 hasConceptScore W166221275C74193536 @default.
- W166221275 hasConceptScore W166221275C8642999 @default.
- W166221275 hasLocation W1662212751 @default.
- W166221275 hasLocation W1662212752 @default.
- W166221275 hasOpenAccess W166221275 @default.
- W166221275 hasPrimaryLocation W1662212751 @default.
- W166221275 hasRelatedWork W2110459882 @default.
- W166221275 hasRelatedWork W2141609920 @default.
- W166221275 hasRelatedWork W2251221343 @default.
- W166221275 hasRelatedWork W2988011443 @default.
- W166221275 hasRelatedWork W3199608561 @default.
- W166221275 hasRelatedWork W4210794429 @default.
- W166221275 hasRelatedWork W4223456145 @default.
- W166221275 hasRelatedWork W4283697347 @default.
- W166221275 hasRelatedWork W4295309597 @default.
- W166221275 hasRelatedWork W4309113015 @default.
- W166221275 isParatext "false" @default.
- W166221275 isRetracted "false" @default.
- W166221275 magId "166221275" @default.
- W166221275 workType "book-chapter" @default.