New Support Vector Algorithms
| dc.contributor.author | Schoelkopf, Bernhard | |
| dc.contributor.author | Smola, Alexander | |
| dc.contributor.author | Williamson, Robert | |
| dc.contributor.author | Bartlett, Peter | |
| dc.date.accessioned | 2015-12-13T23:15:38Z | |
| dc.date.available | 2015-12-13T23:15:38Z | |
| dc.date.issued | 2000 | |
| dc.date.updated | 2015-12-12T08:44:17Z | |
| dc.description.abstract | We propose a new class of support vector algorithms for regression and classification. In these algorithms, a parameter ν lets one effectively control the number of support vectors. While this can be useful in its own right, the parameterization has the | |
| dc.identifier.issn | 0899-7667 | |
| dc.identifier.uri | http://hdl.handle.net/1885/88973 | |
| dc.publisher | MIT Press | |
| dc.source | Neural Computation | |
| dc.title | New Support Vector Algorithms | |
| dc.type | Journal article | |
| local.bibliographicCitation.issue | 5 | |
| local.bibliographicCitation.lastpage | 1245 | |
| local.bibliographicCitation.startpage | 1207 | |
| local.contributor.affiliation | Schoelkopf, Bernhard, Max Planck Institute for Biological Cybernetics | |
| local.contributor.affiliation | Smola, Alexander, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Williamson, Robert, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Bartlett, Peter, College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Smola, Alexander, u4039398 | |
| local.contributor.authoruid | Williamson, Robert, u9000163 | |
| local.contributor.authoruid | Bartlett, Peter, u9301805 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 080109 - Pattern Recognition and Data Mining | |
| local.identifier.ariespublication | MigratedxPub18847 | |
| local.identifier.citationvolume | 12 | |
| local.identifier.scopusID | 2-s2.0-17444438778 | |
| local.type.status | Published Version |