On the effect of analog noise in discrete-time analog computations
Neural Computation
On the Sample Complexity for Nonoverlapping Neural Networks
Machine Learning
Nonparametric Time Series Prediction Through Adaptive ModelSelection
Machine Learning
Transfer theorems via sign conditions
Information Processing Letters
Generalization Ability of Folding Networks
IEEE Transactions on Knowledge and Data Engineering
Neural networks with local receptive fields and superlinear VC Dimension
Neural Computation
Mathematical Modelling of Generalization
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
On the Sample Complexity for Neural Trees
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
RBF Neural Networks and Descartes' Rule of Signs
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Descartes' rule of signs for radial basis function neural networks
Neural Computation
The VC Dimension for Mixtures of Binary Classifiers
Neural Computation
Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks
Neural Computation
Aspects of discrete mathematics and probability in the theory of machine learning
Discrete Applied Mathematics
Vapnik-Chervonenkis Dimension of Parallel Arithmetic Computations
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
VC Dimension Bounds for Analytic Algebraic Computations
COCOON '08 Proceedings of the 14th annual international conference on Computing and Combinatorics
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
VCD Bounds for some GP Genotypes
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
Designing neural networks for tackling hard classification problems
WSEAS TRANSACTIONS on SYSTEMS
Joint universal lossy coding and identification of stationary mixing sources with general alphabets
IEEE Transactions on Information Theory
Annals of Mathematics and Artificial Intelligence
Estimating the size of neural networks from the number of available training data
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Survey paper: Research on probabilistic methods for control system design
Automatica (Journal of IFAC)
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)
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