On a nonlinear extension of the principal fitted component model

Mathematics

• Component Model 100%
• Principal Components 86%
• kernel 44%
• Dimension-reduction Subspaces 22%
• High-dimensional 21%
• Ovarian Cancer 20%
• Inverse Regression 19%
• Sliced Inverse Regression 18%
• Sufficient Dimension Reduction 18%
• Feature Space 17%
• Gaussian Kernel 17%
• Microarray 16%
• Kernel Methods 15%
• Reproducing Kernel Hilbert Space 14%
• Reduction Method 14%
• Classification Problems 14%
• Computational Efficiency 13%
• Prediction 10%
• Numerical Experiment 9%
• Demonstrate 7%
• Model 4%
• Class 3%

Engineering & Materials Science

• Hilbert spaces 20%
• Microarrays 17%
• Computational efficiency 15%
• Experiments 5%