86 search results - page 4 / 18 » Naive Bayes models for probability estimation |
NIPS
2001
13 years 7 months ago
2001
This paper presents a method for obtaining class membership probability estimates for multiclass classification problems by coupling the probability estimates produced by binary c...
FSKD
2007
Springer
13 years 12 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
ECML
2007
Springer
13 years 12 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,...
ECML
2004
Springer
13 years 11 months ago
2004
Springer
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...