Recent advances in error rate estimation

Estimation of Classifier Performance

IEEE Transactions on Pattern Analysis and Machine Intelligence

Small Sample Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners

IEEE Transactions on Pattern Analysis and Machine Intelligence

Pattern Recognition and Valiant's Learning Framework

IEEE Transactions on Pattern Analysis and Machine Intelligence

PAC-like upper bounds for the sample complexity of leave-one-out cross-validation

COLT '96 Proceedings of the ninth annual conference on Computational learning theory

Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence

Data Complexity Analysis for Classifier Combination

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Results in statistical discriminant analysis: a review of the former Soviet union literature

Journal of Multivariate Analysis

Estimating the Posterior Probabilities Using the K-Nearest Neighbor Rule

Neural Computation

Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification

Pattern Recognition Letters

Cross-validation and bootstrapping are unreliable in small sample classification

Pattern Recognition Letters

Effects of Kurtosis for the Error Rate Estimators Using Resampling Methods in Two Class Discrimination

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II

Overlap pattern synthesis with an efficient nearest neighbor classifier

Pattern Recognition

Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors

Artificial Intelligence in Medicine

Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels

The Journal of Machine Learning Research