Hierarchical classifications combining bayes with SVM

ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning

Volumn 2006, Issue , 2006, Pages 177-184

  Cesa Bianchi, Nicolò ^a   Gentile, Claudio ^b   Zaniboni, Luca ^a  

^a UNIVERSITY OF MILAN   (Italy)

^b UNIVERSITY OF INSUBRIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; DATA REDUCTION; STOCHASTIC CONTROL SYSTEMS; VECTORS;

BAYES OPTIMAL CLASSIFIERS; HIERARCHICAL CLASSIFICATION; SUPPORT VECTORS MACHINES (SVM); TAXONOMY;

HIERARCHICAL SYSTEMS;

EID: 33749264456     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Caruana, R., & Niculescu-Mizil, A. (2005). Predicting good probabilities with supervised learning. Proceedings of the American Meteorology Conference. San Diego.
2. Cesa-Bianchi, N., Conconi, A., & Gentile, C. (2004). Regret bounds for hierarchical classification with linear-threshold functions. Proceedings of the 17th Annual Conference on Learning Theory (pp. 93-108). Springer.
3. Cesa-Bianchi, N., Gentile, C., Tironi, A., & Zaniboni, L. (2005). Incremental algorithms for hierarchical classification. Advances in Neural Information Processing Systems 17 (pp. 233-240). MIT Press.
4. Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20, 273-297.
5. Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines. Cambridge University Press.
6. Dekel, O., Keshet, J., & Singer, Y. (2004a). An efficient online algorithm for hierarchical phoneme classification.
7. Dekel, O., Keshet, J., & Singer, Y. (2004b). Large margin hierarchical classification. Proceedings of the 21st International Conference on Machine Learning. Omnipress.
8. Dumais, S., & Chen, H. (2000). Hierarchical classification of web content. Proceedings of the 23rd ACM International Conference on Research and Development in Information Retrieval (pp. 256-263). ACM Press.
9. Granitzer, M. (2003). Hierarchical text classification using methods from machine learning. Doctoral dissertation, Graz University of Technology.
10. Hastie, T., Tishbirani, R., & Friedman, J. (2001). The elements of statistical learning. Springer.
11. Hersh, W. (1994). The ohsumed test collection. Available electronically at http://medir.ohsu.edu/pub/ohsumed/.
12. Hofmann, T., Cai, L., & Ciaramita, M. (2003). Learning with taxonomies: Classifying documents and words.
13. Koller, D., & Sahami, M. (1997). Hierarchically classifying documents using very few words. Proceedings of the 14th International Conference on Machine Learning (pp. 170-178). Morgan Kaufmann Publishers.
14. McCallum, A., Rosenfeld, R., Mitchell, T., , & Ng, A. (1998). Improving text classification by shrinkage in a hierarchy of classes. Proceedings of the 15th International Conference on Machine Learning (pp. 359-367). Morgan Kaufmann Publishers.
15. Mladenic, D. (1998). Turning yahoo into an automatic web-page classifier. Proceedings of the 13th European Conference on Artificial Intelligence (pp. 473-474).
16. Platt, J. (1999). Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers (pp. 61-74). MIT Press.
17. Reuters (2000). Reuters corpus volume 1. Available electronically at http://about.reuters.com/.
18. Rousu, J., Saunders, C., Szdemak, S., & Shawe-Taylor, J. (2005). Learning hierarchical multi-category text classification models. Proceedings of the 22nd International Conference on Machine Learning (pp. 745-752). Omnipress.
19. Ruiz, M., & Srinivasan, P. (2002). Hierarchical text categorization using neural networks. Information Retrieval, 5, 87-118.
20. Schölkopf, B., & Smola, A. (2002). Learning with kernels. MIT Press.
21. Sun, A., & Lim, E. (2001). Hierarchical text classification and evaluation. Proceedings of the 2001 International Conference on Data Mining (pp. 521-528). IEEE Press.
22. Szdemak, S., Saunders, C., Shawe-Taylor, J., & Rousu, J. (2005). Learning hierarchies at two-class complexity. Nips 2005 Workshop on Kernel methods and structured domains.