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STUDY AND IMPROVEMENT OF ORDINAL DECISION TREES BASED ON RANK ENTROPY
所属机构名称:河北大学
会议名称:Proceedings of the 2013 International Conference on Machine Learning and Cybernetics
时间:2013.7.10
成果类型:会议
相关项目:归纳学习中的不确定性研究
同会议论文项目
归纳学习中的不确定性研究
期刊论文 77
会议论文 17
著作 2
同项目会议论文
AN IMPROVED ORDINAL DECISION TREE INDUCTION ALGORITHM
Induction of tolerance rough fuzzy decision tree
Research on ordinal regression of interval valued data
A new resampling method of imbalanced large data based on class boundary
An ordinal random forest and its parallel implementation with MapReduce
Monotonic Decision Tree for Interval Valued Data
Instance selection based on sample entropy for efficient data classification with ELM
A Rank Reduced Matrix Method in Extreme Learning Machine
A Total Error Rate Multi-Class Classification
A WEIGHTED LEAST SQUARES SUPPORT 14VECTOR MACHINE BASED ON THE COVARIANCE MATRIX
An Improved Ordinal Classification Method
Instance selection based on sample entropy for efficient data classificationwith ELM
Induction of Ordinal Decision Tree Based on Mapreduce
Extreme Learning Machine for Interval-Valued Data
Ensemble online sequential extreme learning machine for large data set classification
PROBABILISTIC TOLERANCE ROUGH SET MODEL