Kernel Stability for Model Selection in Kernel-Based Algorithms
IEEE Transactions on Cybernetics(2021)
摘要
Model selection is one of the fundamental problems in kernel-based algorithms, which is commonly done by minimizing an estimation of generalization error. The notion of stability and cross-validation (CV) error of learning machines consists of two widely used tools for analyzing the generalization performance. However, there are some disadvantages to both tools when applied for model selection: 1)...
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关键词
Kernel,Stability criteria,Eigenvalues and eigenfunctions,Perturbation methods,Estimation,Support vector machines
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