On the learnability of Boolean formulae
STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Mistake bounds and logarithmic linear-threshold learning algorithms
Mistake bounds and logarithmic linear-threshold learning algorithms
Elements of information theory
Elements of information theory
Absolute error bounds for learning linear functions online
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
On the Complexity of Function Learning
Machine Learning - Special issue on COLT '93
On-line learning of smooth functions of a single variable
Theoretical Computer Science
On-line learning of linear functions
Computational Complexity
From noise-free to noise-tolerant and from on-line to batch learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Exponentiated gradient versus gradient descent for linear predictors
Information and Computation
Machine Learning
Machine Learning
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
Improved Bounds about On-line Learning of Smooth Functions of a Single Variable
ALT '96 Proceedings of the 7th International Workshop on Algorithmic Learning Theory
Efficient Cost Measures for Motion Compensation at Low Bit Rates
DCC '96 Proceedings of the Conference on Data Compression
Gambling in a rigged casino: The adversarial multi-armed bandit problem
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent
IEEE Transactions on Neural Networks
Multiple-Instance Learning of Real-Valued Geometric Patterns
Annals of Mathematics and Artificial Intelligence
Information and Computation
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