Learning in the presence of malicious errors
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
A deterministic algorithm for sparse multivariate polynomial interpolation
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Types of noise in data for concept learning
COLT '88 Proceedings of the first annual workshop on Computational learning theory
Fast parallel algorithms for sparse multivariate polynomial interpolation over finite fields
SIAM Journal on Computing
Machine learning: a theoretical approach
Machine learning: a theoretical approach
Computational learning theory: an introduction
Computational learning theory: an introduction
On Learning Sets and Functions
Machine Learning
Machine Learning
Fat-shattering and the learnability of real-valued functions
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
On the sample complexity of learning functions with bounded variation
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
Efficient algorithms for learning functions with bounded variation
Information and Computation
Function Learning from Interpolation
Combinatorics, Probability and Computing
A polynomial approximation algorithm for real-time maximum-likelihood estimation
IEEE Transactions on Signal Processing
Hi-index | 0.00 |