36 search results - page 3 / 8 » Augmenting naive Bayes for ranking |
FLAIRS
2004
13 years 7 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
EACL
2003
ACL Anthology
13 years 7 months ago
2003
ACL Anthology
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...
RSKT
2010
Springer
13 years 3 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...