1998
@inproceedings{Lew1998,
vgclass = {refpap},
author = {David D. Lewis},
title = {Naive ({B}ayes) at forty: {T}he independence assumption in
information retrieval},
editor = {Claire N\'{e}dellec and C\'{e}line Rouveirol},
booktitle = {Proceedings of the Tenth European Conference on Machine
Learning},
address = {Chemnitz, Germany},
pages = {4--15},
month = {April},
year = {1998},
url = {http://citeseer.ist.psu.edu/lewis98naive.html},
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.},
}