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All publications by Thomas G. Dietterich
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A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu and Thomas G. Dietterich
Advances in Neural Information Processing Systems 25, 2012


Collective Graphical Models
Daniel R. Sheldon and Thomas G. Dietterich
Advances in Neural Information Processing Systems 24, 2011


Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr, Prasad Tadepalli, Thomas G. Dietterich and Xiaoli Z. Fern
Advances in Neural Information Processing Systems 24, 2011


Learning non-redundant codebooks for classifying complex objects
Wei Zhang, Akshat Surve, Thomas G. Dietterich and Xiaoli Z. Fern
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Automatic discovery and transfer of MAXQ hierarchies
Neville Mehta, Soumya Ray, Prasad Tadepalli and Thomas G. Dietterich
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Learning first-order probabilistic models with combining rules
Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern and Angelo C. Restificar
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Improving SVM accuracy by training on auxiliary data sources
Pengcheng Wu and Thomas G. Dietterich
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Training conditional random fields via gradient tree boosting
Thomas G. Dietterich, Adam Ashenfelter and Yaroslav Bulatov
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Giorgio Valentini and Thomas G. Dietterich
Journal of Machine Learning Research, 2004


Model-based Policy Gradient Reinforcement Learning
Xin Wang and Thomas G. Dietterich
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Low Bias Bagged Support Vector Machines
Giorgio Valentini and Thomas G. Dietterich
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003