154 search results - page 4 / 31 » Boosted Bayesian network classifiers |
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
BMVC
2010
13 years 3 months ago
2010
WWW
2005
ACM
14 years 6 months ago
2005
ACM
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
ICPR
2010
IEEE
13 years 3 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...