Using the Nyström Method to Speed Up Kernel Machines
Christopher K. I. Williams, Matthias Seeger
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Citation edge evidence
- Gaussian Processes for Machine Learning→Using the Nyström Method to Speed Up Kernel MachinesLegacy edge — source detail unavailable
- A kernel two-sample test→Using the Nyström Method to Speed Up Kernel MachinesLegacy edge — source detail unavailable
- A Kernel Method for the Two-Sample-Problem→Using the Nyström Method to Speed Up Kernel MachinesLegacy edge — source detail unavailable
- A Unifying View of Sparse Approximate Gaussian Process Regression→Using the Nyström Method to Speed Up Kernel MachinesLegacy edge — source detail unavailable
- Using the Nyström Method to Speed Up Kernel Machines→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Using the Nyström Method to Speed Up Kernel Machines→Nonlinear Component Analysis as a Kernel Eigenvalue ProblemLegacy edge — source detail unavailable
- A Unifying View of Sparse Approximate Gaussian Process Regression→Gaussian Processes for Machine LearningLegacy edge — source detail unavailable
- A Unifying View of Sparse Approximate Gaussian Process Regression→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Gaussian Processes for Machine Learning→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- Nonlinear Component Analysis as a Kernel Eigenvalue Problem→The Nature of Statistical Learning TheoryLegacy edge — source detail unavailable
- A kernel two-sample test→A Kernel Method for the Two-Sample-ProblemLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| The Nature of Statistical Learning Theory | 1995 | 39,409 |
| Nonlinear Component Analysis as a Kernel Eigenvalue Problem | 1998 | 8,138 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Gaussian Processes for Machine Learning | 2005 | 10,470 |
| A kernel two-sample test | 2012 | 2,224 |
| A Kernel Method for the Two-Sample-Problem | 2007 | 1,949 |
| A Unifying View of Sparse Approximate Gaussian Process Regression | 2005 | 1,782 |
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Topics
| Gaussian Processes and Bayesian Inference | Computer Science |
| Neural Networks and Applications | Computer Science |
| Machine Learning and Algorithms | Computer Science |
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