60 search results - page 7 / 12 » Three naive Bayes approaches for discrimination-free classif... |
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
IDEAL
2000
Springer
13 years 11 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...