On learning noisy threshold functions with finite precision weights
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning from a population of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Choosing a reliable hypothesis
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Theory and Practice of Vector Quantizers Trained on Small Training Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian inductive logic programming
COLT '94 Proceedings of the seventh 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
The minimum L-complexity algorithm and its applications to learning non-parametric rules
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
How Bad May Learning Curves Be?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficiently Determining the Starting Sample Size for Progressive Sampling
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classifiers: a theoretical and empirical study
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Classifier learning from noisy data as probabilistic evidence combination
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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