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Alireza Farhangfar 的论文(6) 排序方式:
Impact of imputation of missing values on classification error for discrete data  
Numerous industrial and research databases include missing values. It is not uncommon to encounter databases that have up to a half of the entries missing, making it very difficult to mine them using ......
Pattern Recognition  2008
5次引用 0 0
A Novel Framework for Imputation of Missing Values in Databases  
Many of the industrial and research databases are plagued by the problem of missing values. Some evident examples include databases associated with instrument maintenance, medical applications, and su......
IEEE Transactions on Systems, Man, and Cybernetics  2007
4次引用 0 0
Experimental analysis of methods for imputation of missing values in databases  
A very important issue faced by researchers and practitioners who use industrial and research databases is incompleteness of data, usually in terms of missing or erroneous values. While some of data a......
2次引用 0 0
Learning to segment from a few well-selected training images  
We address the task of actively learning a segmentation system: given a large number of unsegmented images, and access to an oracle that can segment a given image, decide which images to provide, to q......
International Conference on Machine Learning  2009
1次引用 0 0
A Fast Way to Produce Near-Optimal Fixed-Depth Decision Trees  
Decision trees play an essential role in many classification tasks. In some circumstances, we only want to consider fixeddepth trees. Unfortunately, finding the optimal depth-d decision tree can requi......
1次引用 0 0
A Fast Way to Produce Optimal Fixed-Depth Decision Trees  
National Conference on Artificial Intelligence  2008
0次引用 0 0

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