Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework

Analysis and Optimization of Classifier Error Estimator Performance within a Bayesian Modeling Framework

With the advent of high-throughput genomic and proteomic technologies, in conjunction with the difficulty in obtaining even moderately sized samples, small-sample classifier design has become a major issue in the biological and medical communities. Training-data error estimation becomes mandatory, y...

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Bibliographic Details
Main Author: Dalton, Lori Anne
Other Authors: Dougherty, Edward R.
Format: Others
Language:en_US
Published: 2012
Subjects:
Bayesian estimation
classification
error estimation
genomics
minimum mean-square estimation
small samples
Online Access:http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10873

Internet

http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10873

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