The Strength of Weak Learnability
Machine Learning
The nature of statistical learning theory
The nature of statistical learning theory
Boosting a weak learning algorithm by majority
Information and Computation
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Computation with infinite neural networks
Neural Computation
Bayesian Classification With Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV
Advances in kernel methods
Bayesian Learning for Neural Networks
Bayesian Learning for Neural Networks
Neural Computation
Scaling Kernel-Based Systems to Large Data Sets
Data Mining and Knowledge Discovery
The Bayesian Committee Support Vector Machine
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
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