49 search results - page 10 / 10 » Learning Bayesian network classifiers by maximizing conditio... |
CDC
2009
IEEE
13 years 5 months ago
2009
IEEE
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
SADM
2010
12 years 11 months ago
2010
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
DASFAA
2004
IEEE
13 years 8 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
NECO
2011
12 years 11 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...