Communications of the ACM
Computational learning theory: an introduction
Computational learning theory: an introduction
Approximate testing and learnability
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
An introduction to computational learning theory
An introduction to computational learning theory
Learning in Neural Networks: Theoretical Foundations
Learning in Neural Networks: Theoretical Foundations
Transduction with Confidence and Credibility
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
A Universal Well-Calibrated Algorithm for On-line Classification
The Journal of Machine Learning Research
Extremal Combinatorics: With Applications in Computer Science
Extremal Combinatorics: With Applications in Computer Science
ICMCTA '08 Proceedings of the 2nd international Castle meeting on Coding Theory and Applications
Using a similarity measure for credible classification
Discrete Applied Mathematics
IWCC '09 Proceedings of the 2nd International Workshop on Coding and Cryptology
A new imputation method for incomplete binary data
Discrete Applied Mathematics
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We propose a way of measuring the similarity of a Boolean vector to a given set of Boolean vectors, motivated in part by certain data mining or machine learning problems. We relate the similarity measure to one based on Hamming distance and we develop from this some ways of quantifying the 'quality' of a dataset.