Learning from a population of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Rigorous learning curve bounds from statistical mechanics
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Generalization in partially connected layered neural networks
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Transparent remote execution in LAHNOS by means of a neural network device
ACM SIGOPS Operating Systems Review
On the Behavior of Artificial Neural Network Classifiers in High-Dimensional Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix
Pattern Recognition Letters
How Bad May Learning Curves Be?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algebraic geometrical methods for hierarchical learning machines
Neural Networks
Modelling Classification Performance for Large Data Sets
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Algebraic Analysis for Singular Statistical Estimation
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
The subspace information criterion for infinite dimensional hypothesis spaces
The Journal of Machine Learning Research
Results in statistical discriminant analysis: a review of the former Soviet union literature
Journal of Multivariate Analysis
An asymptotic statistical theory of polynomial kernel methods
Neural Computation
Algebraic Analysis for Nonidentifiable Learning Machines
Neural Computation
Learning curves for error minimum and maximum likelihood algorithms
Neural Computation
A Least-squares Approach to Direct Importance Estimation
The Journal of Machine Learning Research
Generalization error analysis for polynomial kernel methods: algebraic geometrical approach
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Multicategory nets of single-layer perceptrons: complexity and sample-size issues
IEEE Transactions on Neural Networks
The Journal of Machine Learning Research
Dreaming of mathematical neuroscience for half a century
Neural Networks
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
On Potential Cognitive Abilities in the Machine Kingdom
Minds and Machines
Random walk kernels and learning curves for Gaussian process regression on random graphs
The Journal of Machine Learning Research
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