On the decidability of sparse univariate polynomial interpolation
STOC '90 Proceedings of the twenty-second annual ACM symposium on Theory of computing
Introduction to the theory of neural computation
Introduction to the theory of neural computation
On the computational power of sigmoid versus boolean threshold circuits (extended abstract)
SFCS '91 Proceedings of the 32nd annual symposium on Foundations of computer science
Computational learning theory: an introduction
Computational learning theory: an introduction
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
VC dimension and uniform learnability of sparse polynomials and rational functions
SIAM Journal on Computing
Finiteness results for sigmoidal “neural” networks
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
A result of Vapnik with applications
Discrete Applied Mathematics
Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers
Machine Learning - Special issue on COLT '93
On the complexity of learning on neural nets
Euro-COLT '93 Proceedings of the first European conference on Computational learning theory
On real Turing machines that toss coins
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Sample sizes for sigmoidal neural networks
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Towards robust model selection using estimation and approximation error bounds
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Statistical learning theory for location fingerprinting in wireless LANs
Computer Networks and ISDN Systems
Vapnik-chervonenkis generalization bounds for real valued neural networks
Neural Computation
Statistical learning theory for location fingerprinting in wireless LANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
Confidence intervals for the risks of regression models
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Randomized algorithms for robust controller synthesis using statistical learning theory
Automatica (Journal of IFAC)
Brief Probabilistic solutions to some NP-hard matrix problems
Automatica (Journal of IFAC)
| Hi-index | 0.00 |