Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model

Mathematics

• Support Vector Regression 100%
• Least Squares Regression 79%
• Regression 50%
• Diagonal matrix 46%
• kernel 44%
• Modeling 42%
• Covariance matrix 39%
• Orthogonal Least Squares 37%
• Sparse Representation 30%
• Reproducing Kernel Hilbert Space 24%
• Selection Procedures 24%
• Least Squares Problem 24%
• Dual Problem 23%
• Training 23%
• Experimental Results 21%
• Model 21%
• Lagrange 20%
• Decompose 14%
• Demonstrate 13%
• Concepts 11%
• Generalization 11%

Engineering & Materials Science

• Support vector regression 76%
• Covariance matrix 44%
• Hilbert spaces 29%
• Model structures 22%
• Decomposition 15%