IR-610: (2007) Druck, G., Pal, C., Zhu, X. and McCallum, A., "Semi-Supervised Classification with Hybrid Generative/Discriminative Methods," Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), pp. 280-289. [View Abstract] [View bibtex]
IR-609: (2007) Wang, X., Pal, C. and McCallum, A., "Generalized Component Analysis for Text with Heterogeneous Attributes," Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 794-803, 2007. [View Abstract] [View bibtex]
IR-607: (2007) Pal, C., Mann, G. and Minerich, R., "Putting Semantic Information Extraction on the Map: Noisy Label Models for Fact Extraction," Sixth International Workshop on Information Integration on the Web (IIWeb-07), in conjunction with AAAI-07, July 23, 2007, Vancouver, Canada. [View Abstract] [View bibtex]
IR-584: (2007) Wang, X., Pal, C. and McCallum, A., "Undirected and Interpretable Continuous Topic Models of Documents," CIIR Technical Report. [View Abstract] [View bibtex]
IR-550: (2006) Jagalur, M., Pal, C., Learned-Miller, E. and Zoeller, T., "The Processing and Analysis of in situ Gene Expression Images of the Mouse Brain," a workshop at Advances in Neural Information Processing Systems (NIPS) Workshop on New Problems and Methods in Computational Biology. Vancouver, BC, Canada. Dec. 8, 2006. [View Abstract] [View bibtex]
IR-549: (2006) Pal, C., Kelm, M., Wang, X., Druck, G. and McCallum, A., "On Discriminative and Semi-Supervised Dimensionality Reduction," a workshop at Advances in Neural Information Processing Systems (NIPS) Workshop on Novel Applications of Dimensionality Reduction, Whistler, BC, Canada, December 9, 2006. [View Abstract] [View bibtex]
IR-529: (2007) Kanani, P., McCallum, A. and Pal, C., "Improving Author Coreference by Resource-bounded Information Gathering from the Web," in the Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 07), pp. 429-434. [View Abstract] [View bibtex]
IR-520: (2006) Kelm, M., Pal, C. and McCallum, A., "Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning," in the Proceedings of the 18th International Conference on Pattern Recognition, Pattern Recognition, 2006. ICPR 2006,Volume 2, 20-24 Aug. 2006 Page(s):828 - 832. [View bibtex]
IR-519: (2006) Pal, C., Wang, X., Kelm, M. and McCallum, A., "Multi-Conditional Learning for Joint Probability Models with Latent Variables," a Workshop at the 19th Annual Conference on Neural Information Processing Systems Workshop on Advances in Structured Learning for Text and Speech Processing, Whistler British Columbia, Canada. Dec. 9-10, 2005. [View Abstract] [View bibtex]
IR-518: (2006) Pal, C. and McCallum, A., "CC Prediction with Graphical Models," in the Proceedings of the Third Conference on Email and Anti-Spam, pp. 52-54. [View Abstract] [View bibtex]
IR-517: (2006) McCallum, A., Pal, C., Druck, G. and Wang, X., "Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification," in the Proceedings of AAAI '06: American Association for Artificial Intelligence National Conference on Artificial Intelligence, pp. 433-439. [View bibtex]
IR-457: (2006) Sutton, C., Pal, C. and McCallum, A., "Sparse forward-backward using minimum divergence beams for fast training of conditional random fields," in the Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), v. 5 pp. 581-584. [View Abstract] [View bibtex]
IR-456: (2005) Sutton, C., Pal, C. and McCallum, A., "Sparse Forward-Backward for Fast Training of Conditional Random Fields," NIPS 2005 Workshop on Structured Learning for Text and Speech Processing. Vancouver, 2005. [View bibtex]
IR-434: (2005) McCallum, A., Wang, X. and Pal, C., "Predictive Random Fields: Multiway Conditional Probability Models for Clustering," CIIR Technical Report, CmpSci Technical Report UM-CS-2005-053. [View Abstract] [View bibtex]
IR-433: (2005) Pal, C., Sutton, C. and McCallum, A., "Fast Inference and Learning With Sparse Belief Propagation," CIIR Technical Report. [View Abstract] [View bibtex]