| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10360879 | Pattern Recognition | 2013 | 8 Pages |
Abstract
⺠Stochastic margin-based structure learning of Bayesian network classifiers (BNC). ⺠We introduce the maximum margin criterion for discriminative structure learning of BNC. ⺠We empirically show its advantages using deterministic/stochastic search heuristics. ⺠We compare generative/discriminative parameter learning on generative/discriminative structured BNC. ⺠Missing features can be handled by discriminatively optimized BNC.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Franz Pernkopf, Michael Wohlmayr,