Random Features for Large-Scale Kernel Machines
GPTKB entity
Statements (16)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:aimsTo |
scale kernel machines to large datasets
|
| gptkbp:author |
gptkb:Benjamin_Recht
gptkb:Ali_Rahimi |
| gptkbp:citation |
highly cited
|
| gptkbp:field |
gptkb:machine_learning
gptkb:kernel_methods |
| https://www.w3.org/2000/01/rdf-schema#label |
Random Features for Large-Scale Kernel Machines
|
| gptkbp:impact |
influential in scalable kernel learning
|
| gptkbp:proposedBy |
random Fourier features
|
| gptkbp:publicationYear |
2007
|
| gptkbp:publishedIn |
gptkb:Advances_in_Neural_Information_Processing_Systems
|
| gptkbp:url |
https://papers.nips.cc/paper/2007/hash/013a006f03dbc5392effeb8f18fda755-Abstract.html
|
| gptkbp:bfsParent |
gptkb:NeurIPS_2011
gptkb:NeurIPS_2010 |
| gptkbp:bfsLayer |
6
|