Learning decision trees from random examples needed for learning
Information and Computation
Mistake bounds and logarithmic linear-threshold learning algorithms
Mistake bounds and logarithmic linear-threshold learning algorithms
Learning boolean functions in an infinite attribute space
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
On-line learning with an oblivious environment and the power of randomization
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
On-line learning of rectangles
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Rank-r decision trees are a subclass of r-decision lists
Information Processing Letters
Lower Bound Methods and Separation Results for On-Line Learning Models
Machine Learning - Computational learning theory
Learning binary relations and total orders
SIAM Journal on Computing
The Power of Self-Directed Learning
Machine Learning
Machine Learning
Machine Learning
Online learning versus offline learning
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
On Teaching and Learning Intersection-Closed Concept Classes
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Direct marketing with fewer mistakes
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
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