Research map / Learning theory and algorithms / Kernels and regression theory
A new similarity measure for covariate shift with applications to nonparametric regression
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the similarity measure instead of the transfer exponent to characterize covariate shift | Nonparametric regression on the stated source-target pair · Q uniform on [0,1]; P density p(x) = (κ +1) x^κ | minimax risk rate: n^{-\frac{2\beta}{2\beta + \ensuremath{\kappa} + 1}} -> n^{-\frac{2\beta}{2\beta + \ensuremath{\kappa}}}; for β = 1 and | Helped |
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