位置：成果数据库 > 期刊 > 期刊详情页
Learning Instance Weighted Naive Bayes from labeled and unlabeled data
  • ISSN号：0925-9902
  • 期刊名称：Journal of Intelligent Information Systems
  • 时间：0
  • 页码：257-268
  • 相关项目：基于贝叶斯网络的排列算法研究
作者： Jiang, Liangxiao|
同期刊论文项目
基于贝叶斯网络的排列算法研究
期刊论文 16 获奖 2
同项目期刊论文
Random one-dependence estimators
An empirical study on attribute selection measures in decision tree learning
An Improved Instance Weighted Linear Regression
Not so greedy: Randomly Selected Naive Bayes
Learning random forests for ranking
An empirical study on class probability estimates in decision tree learning
Scaling up the accuracy of decision-tree classifiers: A naive-bayes combination
Improving naive bayes for classification
A Survey of Distance Metrics for Nominal Attributes
Naive Bayes Text Classifiers: A Locally Weighted Learning Approach
Learning Random Model Trees for Regression
A Modified Short and Fukunaga Metric based on the attribute independence assumption