Random Features for Large-Scale Kernel Machines
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Training linear SVMs in linear time | 2006 | 1,961 |
| On the mathematical foundations of learning | 2001 | 1,593 |
What cites it, inside the corpus
Links
Topics
| Machine Learning and ELM | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Stochastic Gradient Optimization Techniques | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports2 author record(s) attached.
- supports18 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 46f669157f96ea35…