Communications of the ACM
Learning from good and bad data
Learning from good and bad data
Training a 3-node neural network in NP-complete
Advances in neural information processing systems 1
Polynomial time algorithms for learning neural nets
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Types of noise in data for concept learning
COLT '88 Proceedings of the first annual workshop on Computational learning theory
Learning k-DNF with noise in the attributes
COLT '88 Proceedings of the first annual workshop on Computational learning theory
On learning from queries and counterexamples in the presence of noise
Information Processing Letters
Redundant noisy attributes, attribute errors, and linear-threshold learning using winnow
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Learning k-term DNF formulas with an incomplete membership oracle
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Exact identification of read-once formulas using fixed points of amplification functions
SIAM Journal on Computing
Learning in the presence of malicious errors
SIAM Journal on Computing
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning with malicious membership queries and exceptions (extended abstract)
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning with queries but incomplete information (extended abstract)
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning from a consistently ignorant teacher
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle
Machine Learning - Special issue on computational learning theory
Machine Learning
Machine Learning
PAC learning intersections of halfspaces with membership queries (extended abstract)
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Learning from examples with unspecified attribute values (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
The query complexity of finding local minima in the lattice
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
The query complexity of finding local minima in the lattice
Information and Computation
Theoretical Computer Science
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Learning Intermediate Concepts
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
On Agnostic Learning with {0, *, 1}-Valued and Real-Valued Hypotheses
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Overview based example selection in end user interactive concept learning
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Algorithms and theory of computation handbook
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