Abstract
The ''no-free-lunch'' theorems (Wolpert & Macready, 1995) have sparked heated debate in the computational learning community. A recent communication (Zhu & Rohwer, 1996) attempts to demonstrate the inefficiency of cross-validation on a simple problem. We elaborate on this result by considering a broader class of cross-validation. When used more strictly, cross-validation can yield the expected results on simple examples.
| Original language | English |
|---|---|
| Journal | Neural Computation |
| Volume | 9 |
| Issue number | 6 |
| Pages (from-to) | 1246-1249 |
| ISSN | 0899-7667 |
| DOIs | |
| Publication status | Published - 1997 |
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