Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
On exact specification by examples
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Identification criteria and lower bounds for perceptron-like learning rules
Neural Computation
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Constructing X-of-N Attributes for Decision Tree Learning
Machine Learning
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
Generalization by Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Some Dichotomy Theorems for Neural Learning Problems
The Journal of Machine Learning Research
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
SFCS '87 Proceedings of the 28th Annual Symposium on Foundations of Computer Science
A system for induction of oblique decision trees
Journal of Artificial Intelligence Research
Probably approximately correct learning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Adapting bias by gradient descent: an incremental version of delta-bar-delta
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Low-weight halfspaces for sparse boolean vectors
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Improved Approximation of Linear Threshold Functions
Computational Complexity
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