C4.5: programs for machine learning
C4.5: programs for machine learning
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Predicting Nearly As Well As the Best Pruning of a Decision Tree
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
A PAC analysis of a Bayesian estimator
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
An efficient extension to mixture techniques for prediction and decision trees
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Concept learning using complexity regularization
IEEE Transactions on Information Theory
PAC-Bayesian Stochastic Model Selection
Machine Learning
Learning theory and language modeling
Exploring artificial intelligence in the new millennium
The Journal of Machine Learning Research
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
Pac-bayesian generalisation error bounds for gaussian process classification
The Journal of Machine Learning Research
Introduction to the special issue on learning theory
The Journal of Machine Learning Research
Computable Shell Decomposition Bounds
The Journal of Machine Learning Research
Towards tight bounds for rule learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Combining PAC-Bayesian and Generic Chaining Bounds
The Journal of Machine Learning Research
Performance prediction for exponential language models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Explicit learning curves for transduction and application to clustering and compression algorithms
Journal of Artificial Intelligence Research
Maximum Entropy Discrimination Markov Networks
The Journal of Machine Learning Research
Exact combinatorial bounds on the probability of overfitting for empirical risk minimization
Pattern Recognition and Image Analysis
Learning with randomized majority votes
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Distribution-dependent PAC-bayes priors
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
A PAC-bayes bound for tailored density estimation
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
PAC-Bayesian Analysis of Co-clustering and Beyond
The Journal of Machine Learning Research
Multitask Sparsity via Maximum Entropy Discrimination
The Journal of Machine Learning Research
Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problems
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Differentially-private learning and information theory
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Tighter PAC-Bayes bounds through distribution-dependent priors
Theoretical Computer Science
PAC-bayes bounds with data dependent priors
The Journal of Machine Learning Research
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