Sciweavers

NIPS
2003
14 years 28 days ago
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...
Yoshua Bengio, Yves Grandvalet
ICML
2000
IEEE
15 years 11 days ago
Complete Cross-Validation for Nearest Neighbor Classifiers
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
Matthew D. Mullin, Rahul Sukthankar