Knowledge-guided bayesian support vector machine methods for high-dimensional data /
Support vector machines (SVM) is a popular classification method for analysis of high dimensional data such as genomics data. Recently, new SVM methods have been developed to achieve variable selection through either frequentist regularization or Bayesian shrinkage. The Bayesian framework provides a...
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
[Philadelphia, Pennsylvania] : Ann Arbor :
University of Pennsylvania ; ProQuest Dissertations & Theses,
2019
|
| Subjects: |