Scalable kernel-based learning via low-rank approximation of lifted data

Mathematics

• Low-rank Approximation 100%
• Learning 68%
• Dimensionality Reduction 65%
• kernel 51%
• Feature Extraction 37%
• Large Data Sets 30%
• Kernel Methods 29%
• Framework 28%
• Availability 27%
• Excess 26%
• Nonlinear Function 25%
• Approximation 25%
• Scalar, inner or dot product 24%
• Approximation Algorithms 22%
• Requirements 20%
• Modeling 16%
• Generalization 12%

Engineering & Materials Science

• Dimensionality reduction 82%
• Large dataset 40%
• Feature extraction 29%
• Availability 26%
• Sampling 26%
• Data storage equipment 22%