Communications of the ACM
The Strength of Weak Learnability
Machine Learning
Learning decision trees using the Fourier spectrum
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
C4.5: programs for machine learning
C4.5: programs for machine learning
Efficient noise-tolerant learning from statistical queries
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
An introduction to computational learning theory
An introduction to computational learning theory
Boosting a weak learning algorithm by majority
Information and Computation
On the boosting ability of top-down decision tree learning algorithms
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Improving Performance in Neural Networks Using a Boosting Algorithm
Advances in Neural Information Processing Systems 5, [NIPS Conference]
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Simple learning algorithms for decision trees and multivariate polynomials
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Exact learning via the Monotone theory
SFCS '93 Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science
General bounds on statistical query learning and PAC learning with noise via hypothesis boosting
SFCS '93 Proceedings of the 1993 IEEE 34th Annual Foundations of Computer Science
An efficient membership-query algorithm for learning DNF with respect to the uniform distribution
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Inducing classification and regression trees in first order logic
Relational Data Mining
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
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