Random Features for Large-Scale Kernel Machines
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Citation edge evidence
- Trends in extreme learning machines: A review→Random Features for Large-Scale Kernel MachinesLegacy edge — source detail unavailable
- A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions→Random Features for Large-Scale Kernel MachinesLegacy edge — source detail unavailable
- Deep Learning for Anomaly Detection: A Review→Random Features for Large-Scale Kernel MachinesLegacy edge — source detail unavailable
- Reconciling modern machine-learning practice and the classical bias–variance trade-off→Random Features for Large-Scale Kernel MachinesLegacy edge — source detail unavailable
- Random Features for Large-Scale Kernel Machines→Training linear SVMs in linear timeLegacy edge — source detail unavailable
- Random Features for Large-Scale Kernel Machines→On the mathematical foundations of learningLegacy edge — source detail unavailable
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
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Topics
| Machine Learning and ELM | Computer Science |
| Machine Learning and Algorithms | Computer Science |
| Stochastic Gradient Optimization Techniques | Computer Science |
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