32 search results - page 3 / 7 » Efficient learning of Naive Bayes classifiers under class-co... |
NIPS
2008
13 years 9 months ago
2008
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
IJCAI
2003
13 years 9 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
ML
2008
ACM
13 years 7 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...