Fast & Confident Probabilistic Categorization

Cancedda, N., Goutte, C., Renders, J.-M., Cesa-Bianchi, N., Conconi, A., Li, Y., Shawe-Taylor, J., Vinokourov, A., Graepel, T. and Gentile, C. (2002). Kernel Methods for Document Filtering. The Eleventh Text REtrieval Conference (TREC 2002), National Institute of Standards and Technology (NIST).

Dempster, A.~P., Laird, N.~M., and Rubin, D.~B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39(1):1--38.

Gandrabur, S., Foster, G., Lapalme, G. (2006). Confidence Estimation for NLP Applications. ACM Transactions on Speech and Language Processing, 3(3): 1--29.

Gaussier, E., Goutte, C., Popat, K., and Chen, F. (2002). A hierarchical model for clustering and categorising documents. Proceedings of the 24th BCS-IRSG Colloquium on IR Research (ECIR'02), pp. 229--247. Springer.

Gillick, L., Ito, Y. and Young, J. (1997). A Probabilistic Approach to Confidence Estimation and Evaluation. ICASSP '97: Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'97)-Volume 2, pp. 879--882.

Goutte, C. and Gaussier, E. (2004). Method for multi-class, multi-label categorization using probabilistic hierarchical modeling. US Patent 7,139,754 (granted Nov. 21, 2006).

Goutte, C. and Gaussier, E. (2005). A Probabilistic Interpretation of Precision, Recall and F-Score, with Implication for Evaluation. Advances in Information Retrieval, 27th European Conference on IR Research (ECIR 2005), pp. 345-359. Springer.

Hofmann, T. (1999). Probabilistic latent semantic analysis. Uncertainty in Artificial Intelligence (UAI'99), pp. 289--296.

Joachims, T. (1998). Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. ECML '98: Proceedings of the 10th European Conference on Machine Learning}, pp. 137--142.

McCallum, A. and Nigam, K. (1998). A Comparison of Event Models for Naive Bayes Text Classification. AAAI/ICML-98 Workshop on Learning for Text Categorization, pp. 41--48.

McCallum, A. (1999). Multi-Label Text Classification with a Mixture Model Trained by EM. AAAI'99 Workshop on Text Learning.

Renders, J.-M., Gaussier, E., Goutte, C., Pacull, F. and Csurka, G. (2006). Categorization in multiple category systems. Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), pp. 745--752.

Rose, K., Gurewwitz, E., and Fox, G. (1990). A deterministic annealing approach to clustering. Pattern Recogn. Letters, 11(9):589--594.

Vapnik, V.~N. (1998). Statistical Learning Theory. Wiley.

Zadrozny, B. and Elkan, C. (2001). Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. Machine Learning, Proceedings of the Eighteenth International Conference (ICML'01).