@inproceedings{Lewis1998,
	title = {Naive (bayes) at forty: the independence assumption in information
	retrieval},
	author = {David D. Lewis},
	booktitle = {European Conference on Machine Learning},
	pages = {4--15},
	url = {http://www.mpi-inf.mpg.de/units/ag5/teaching/ss00/proseminar-papers/8/lewis98b-ecml98.ps},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/292289e141d65e1d6e56c5abcd159a155/marcoalvarez},
	abstract = {The naive Bayes classifier, currently experiencing a renaissance in
	machine learning, has long been a core technique in information retrieval.
	We review some of the variations of naive Bayes models used for text
	retrieval and classification, focusing on the distributional assumptions
	made about word occurrences in documents.},
	timestamp = {2007.05.18}, isbn = {3-540-64417-2}, owner = {Marco},
	keywords = {Bayes IR }
}