Publications

Thorsten Joachims. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization.. In Douglas H. Fisher, editor(s), ICML, 143-151,Morgan Kaufmann,1997. [BibSonomy: probabilistic estimator tfidf bayes laplace rocchio] URL

S. Kim and H. Rim and D. Yook and H. Lim. Effective methods for improving Naive Bayes text classifiers. 2002. [BibSonomy: multinomial length machine bayes learning normalization naive] URL

Jason D. M. Rennie. Improving Multi-class Text Classification with Naive Bayes. 2001. [BibSonomy: herleitung estimation likelihood map komplett maximum prior exhaustive bayes naive thesis deduction multinomial mle] URL

Andrew McCallum and Kamal Nigam. A Comparison of Event Models for Naive Bayes Text Classification. Learning for Text Categorization: Papers from the 1998 AAAI Workshop, 41--48,1998. [BibSonomy: bayes text model vergleich naive multinomial ereignis classification event bernoulli] URL

David D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval.. In Claire N\'edellec and C\'eline Rouveirol, editor(s), Proceedings of ECML-98, 10th European Conference on Machine Learning, 1398:4--15,Springer Verlag, Heidelberg, DE,Chemnitz, DE,1998. [BibSonomy: text naive ir bayes forty overview representation] URL

Vangelis Metsis and Ion Androutsopoulos and Georgios Paliouras. Spam Filtering with Naive Bayes -- Which Naive Bayes?. 2006. [BibSonomy: spam multinomial bayes multivariate metsis naive] URL

Andrew Kachites McCallum. Multi-Label Text Classification with a Mixture Model Trained by EM. 1999. [BibSonomy: multilabel model bayes probabilistisch probabilistic native nativ classification] URL