Libsvm : A library for support vector machines, ACM Trans. Intell. Syst. Technol, vol.2, issue.3, p.27, 2011. ,
Learning from little : comparison of classifiers given little training, Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD '04, pp.161-172, 2004. ,
A class-feature-centroid classifier for text categorization, Proceedings of the 18th international conference on World wide web, WWW '09, pp.201-210, 2009. ,
Multiclass alternating decision trees, Proceedings of the 13th European Conference on Machine Learning, ECML '02, pp.161-172, 2002. ,
Estimating continuous distributions in bayesian classifiers, Proceedings of the Eleventh conference on Uncertainty in artificial intelligence, pp.338-345, 1995. ,
Some effective techniques for naive bayes text classification. Knowledge and Data Engineering, IEEE Transactions De nouvelles pondérations adaptées aux petits volumes de données textuelles on, vol.18, pp.1457-1466, 2006. ,
Naive (bayes) at forty : The independence assumption in information retrieval, pp.4-15, 1998. ,
Semi-supervised classification of network data using very few labels, Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining, ASONAM '10, pp.192-199, 2010. ,
A comparison of event models for naive bayes text classification, AAAI-98 workshop on learning for text categorization, vol.752, pp.41-48, 1998. ,
Evaluation : nouvelle approche avec juges, INFORSID'05 XXIII e congrès, pp.555-570, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-01125014
Chapter Fast training of support vector machines using sequential minimal optimization, pp.185-208, 1999. ,
C4.5 : programs for machine learning, 1993. ,
Okapi at trec-7 : Automatic ad hoc, filtering, vlc and interactive track, pp.199-210, 1999. ,
Introduction to Modern Information Retrieval, 1986. ,
Discriminative parameter learning for bayesian networks, Proceedings of the 25th international conference on Machine learning, pp.1016-1023, 2008. ,
Cbc : Clustering based text classification requiring minimal labeled data, Proceedings of the Third IEEE International Conference on Data Mining, ICDM '03, pp.443-450, 2003. ,
A class-based feature weighting method for text classification, Journal of Computational Information Systems, vol.8, issue.3, pp.965-972, 2012. ,