averagedOneDependenceEstimators averagedOneDependenceEstimators
Parent | oss-parent |
Group | nz.ac.waikato.cms.weka |
描述 | AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24. |
Packaging | jar |
Size | 22.27 KB |
文件 | pom jar |
网址 | http://weka.sourceforge.net/doc.packages/averagedOneDependenceEstimators |
发布时间 | 2012-07-20 16:25 |
dependencies
Group | Artifact | Version |
---|---|---|
nz.ac.waikato.cms.weka | weka-dev | [3.7.1,) |
nz.ac.waikato.cms.weka | weka-dev | [3.7.1,) |
junit | junit | 3.8.2 |
developers
jrbought | Janice Boughton |
licenses
GNU General Public License 3 | http://www.gnu.org/licenses/gpl-3.0.txt |
索引仓库
仓库 | 个数 |
Central | 592045 |