Note on free lunches and cross-validation

被引：113

作者：

Goutte, C

机构：

[1] Department of Mathematical Modelling, Technical University of Denmark

来源：

NEURAL COMPUTATION | 1997年 / 9卷 / 06期

关键词：

D O I：

10.1162/neco.1997.9.6.1245

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1245 / 1249

页数：5