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nz.ac.waikato.cms.weka:averagedOneDependenceEstimators 1.0.2

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.

Категории

Категории

Weka Прикладные библиотеки Machine Learning
Группа

Группа

nz.ac.waikato.cms.weka
Идентификатор

Идентификатор

averagedOneDependenceEstimators
Версия

Версия

1.0.2
Тип

Тип

jar

Скачать averagedOneDependenceEstimators 1.0.2


<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/averagedOneDependenceEstimators/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>averagedOneDependenceEstimators</artifactId>
    <version>1.0.2</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/averagedOneDependenceEstimators/
implementation 'nz.ac.waikato.cms.weka:averagedOneDependenceEstimators:1.0.2'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/averagedOneDependenceEstimators/
implementation ("nz.ac.waikato.cms.weka:averagedOneDependenceEstimators:1.0.2")
'nz.ac.waikato.cms.weka:averagedOneDependenceEstimators:jar:1.0.2'
<dependency org="nz.ac.waikato.cms.weka" name="averagedOneDependenceEstimators" rev="1.0.2">
  <artifact name="averagedOneDependenceEstimators" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='averagedOneDependenceEstimators', version='1.0.2')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "averagedOneDependenceEstimators" % "1.0.2"
[nz.ac.waikato.cms.weka/averagedOneDependenceEstimators "1.0.2"]