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All publications by Jaime G. Carbonell
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Structured Sparse Canonical Correlation Analysis
Xi Chen, Han Liu and Jaime G. Carbonell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


The Sample Complexity of Self-Verifying Bayesian Active Learning
Liu Yang, Steve Hanneke and Jaime G. Carbonell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Optimizing estimated loss reduction for active sampling in rank learning
Pinar Donmez and Jaime G. Carbonell
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Nearest-Neighbor-Based Active Learning for Rare Category Detection
Jingrui He and Jaime G. Carbonell
Advances in Neural Information Processing Systems 20, 2007


Predicting protein folds with structural repeats using a chain graph model
Yan Liu, Eric P. Xing and Jaime G. Carbonell
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005