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
Decision lists and related Boolean functions
Theoretical Computer Science
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
DNF are teachable in the average case
Machine Learning
Measuring teachability using variants of the teaching dimension
Theoretical Computer Science
Recent Developments in Algorithmic Teaching
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
On data classification by iterative linear partitioning
Discrete Applied Mathematics
Teaching randomized learners with feedback
Information and Computation
DNF are teachable in the average case
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Teaching classes with high teaching dimension using few examples
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Massive online teaching to bounded learners
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Improved Approximation of Linear Threshold Functions
Computational Complexity
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