A general lower bound on the number of examples needed for learning
Information and Computation
Boosting a weak learning algorithm by majority
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Efficient noise-tolerant learning from statistical queries
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Learning with restricted focus of attention
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Data filtering and distribution modeling algorithms for machine learning
Data filtering and distribution modeling algorithms for machine learning
On learning from noisy and incomplete examples
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
The harmonic sieve: a novel application of Fourier analysis to machine learning theory and practice
The harmonic sieve: a novel application of Fourier analysis to machine learning theory and practice
Machine Learning
Learnability with Restricted Focus of Attention guarantees Noise-Tolerance
AII '94 Proceedings of the 4th International Workshop on Analogical and Inductive Inference: Algorithmic Learning Theory
Learning from examples with unspecified attribute values (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Structural results about exact learning with unspecified attribute values
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
An apprentice learning model (extended abstract)
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
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