Support Vector Machines for Classification and Imputation

Support Vector Machines for Classification and Imputation

Support vector machines (SVMs) are a powerful tool for classification problems. SVMs have only been developed in the last 20 years with the availability of cheap and abundant computing power. SVMs are a non-statistical approach and make no assumptions about the distribution of the data. Here support...

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Bibliographic Details
Main Author: Rogers, Spencer David
Format: Others
Published: BYU ScholarsArchive 2012
Subjects:
support vector machines
SVM
imputation
binary classification
handwritten digit recognition
EM algorithm
NLSY97
Statistics and Probability
Online Access:https://scholarsarchive.byu.edu/etd/3215
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4214&context=etd

Internet

https://scholarsarchive.byu.edu/etd/3215
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4214&context=etd

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