位置：成果数据库 > 期刊 > 期刊详情页
A Modified Short and Fukunaga Metric based on the attribute independence assumption
  • ISSN号：0167-8655
  • 期刊名称：Pattern Recognition Letters
  • 时间：0
  • 页码：1213-1218
  • 相关项目：基于贝叶斯网络的排列算法研究
作者： Li, Chaoqun|Li, Hongwei|
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
Learning Instance Weighted Naive Bayes from labeled and unlabeled data