Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
An O(nlog log n) learning algorithm for DNF under the uniform distribution
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning DNF formulae under classes of probability distributions
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning monotone log-term DNF formulas
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
A Simulated Annealing-Based Learning Algorithm for Boolean DNF
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Learning Sub-classes of Monotone DNF on the Uniform Distribution
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
On Learning Monotone DNF under Product Distributions
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
On Logarithmic Simulated Annealing
TCS '00 Proceedings of the International Conference IFIP on Theoretical Computer Science, Exploring New Frontiers of Theoretical Informatics
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Approximation of Boolean Functions by Local Search
Computational Optimization and Applications
More efficient PAC-learning of DNF with membership queries under the uniform distribution
Journal of Computer and System Sciences
Journal of Computer and System Sciences - STOC 2001
Learning intersections and thresholds of halfspaces
Journal of Computer and System Sciences - Special issue on FOCS 2002
On learning monotone DNF under product distributions
Information and Computation
Learning functions of k relevant variables
Journal of Computer and System Sciences - Special issue: STOC 2003
Separating Models of Learning from Correlated and Uncorrelated Data
The Journal of Machine Learning Research
APPROX '08 / RANDOM '08 Proceedings of the 11th international workshop, APPROX 2008, and 12th international workshop, RANDOM 2008 on Approximation, Randomization and Combinatorial Optimization: Algorithms and Techniques
Hardness of approximate two-level logic minimization and PAC learning with membership queries
Journal of Computer and System Sciences
Exact learning of random DNF over the uniform distribution
Proceedings of the forty-first annual ACM symposium on Theory of computing
A discriminative model for semi-supervised learning
Journal of the ACM (JACM)
Learning with many irrelevant features
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
On noise-tolerant learning of sparse parities and related problems
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
On PAC learning algorithms for rich boolean function classes
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
On learning random DNF formulas under the uniform distribution
APPROX'05/RANDOM'05 Proceedings of the 8th international workshop on Approximation, Randomization and Combinatorial Optimization Problems, and Proceedings of the 9th international conference on Randamization and Computation: algorithms and techniques
Separating models of learning from correlated and uncorrelated data
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Learnability of DNF with representation-specific queries
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Theoretical Computer Science
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