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| 126 |       | Charles A. Sutton, Andrew McCallum: Improved Dynamic Schedules for Belief Propagation CoRR abs/1206.5291: (2012) |
| 124 | | Charles A. Sutton, Andrew McCallum: Piecewise Training for Undirected Models CoRR abs/1207.1409: (2012) |
| 93 | | Charles A. Sutton, Andrew McCallum: Piecewise training for structured prediction. Machine Learning 77(2-3): 165-194 (2009) |
| 90 | | Robert Hall, Charles A. Sutton, Andrew McCallum: Unsupervised deduplication using cross-field dependencies. KDD 2008: 310-317 |
| 76 | | Charles A. Sutton, Andrew McCallum: Piecewise pseudolikelihood for efficient training of conditional random fields. ICML 2007: 863-870 |
| 67 | | Charles A. Sutton, Andrew McCallum: Improved Dynamic Schedules for Belief Propagation. UAI 2007: 376-383 |
| 65 | | Charles A. Sutton, Andrew McCallum, Khashayar Rohanimanesh: Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data. Journal of Machine Learning Research 8: 693-723 (2007) |
| 59 | | Charles A. Sutton, Michael Sindelar, Andrew McCallum: Reducing Weight Undertraining in Structured Discriminative Learning. HLT-NAACL 2006 |
| 46 | | Charles A. Sutton, Andrew McCallum: Composition of Conditional Random Fields for Transfer Learning. HLT/EMNLP 2005 |
| 40 | | Charles A. Sutton, Andrew McCallum: Piecewise Training for Undirected Models. UAI 2005: 568-575 |
| 33 | | Charles A. Sutton, Khashayar Rohanimanesh, Andrew McCallum: Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data. ICML 2004 |
Selection of 11 from 135 records - Andrew McCallum has 126 coauthors
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