FLAIRS
2006
14 years 25 days ago
2006
In this paper, we introduce a new restricted Bayesian network classifier that extends naive Bayes by relaxing the conditional independence assumptions, and show that it is partly ...
FLAIRS
2004
14 years 25 days 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...
DMIN
2008
14 years 27 days ago
2008
Naive credal classifier 2 (NCC2) extends naive Bayes in order to deliver more robust classifications. NCC2 is based on a set of prior densities rather than on a single prior; as a ...
FLAIRS
2008
14 years 1 months ago
2008
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive Bayes and decision tables can both be trained efficie...
ECML
2004
Springer
14 years 3 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...
CEAS
2006
Springer
14 years 3 months ago
2006
Springer
Naive Bayes is very popular in commercial and open-source anti-spam e-mail filters. There are, however, several forms of Naive Bayes, something the anti-spam literature does not a...
DIS
2004
Springer
14 years 3 months ago
2004
Springer
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
BIBE
2007
IEEE
14 years 3 months ago
2007
IEEE
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
PKDD
2001
Springer
14 years 3 months ago
2001
Springer
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...