Description
In classification applications, such as medical disease diagnosis, the cost of one type of error (false negative) could greatly outweigh the other (false positive) enabling the need of asymmetric error control.
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Contributors
- Bokhari, Wasif (Author)
- Bansal, Ajay (Thesis advisor)
- Zhang, Yu (Committee member)
- Yang, Yezhou (Committee member)
- Bahadur, Faisal (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2021
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Note
- Partial requirement for: Ph.D., Arizona State University, 2021
- Field of study: Computer Science