50 search results - page 1 / 10 » Learning Dynamic Naive Bayesian Classifiers |
FLAIRS
2008
13 years 6 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
FLAIRS
2008
13 years 6 months ago
2008
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We investigate algebraic, logical, and geometric properties of concepts recognized by various classes of probabilistic classifiers. For this we introduce a natural hierarchy of pr...
ECML
1991
Springer
13 years 8 months ago
1991
Springer
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...