High-dimensional classification and attribute-based forecasting

High-dimensional classification and attribute-based forecasting

This thesis consists of two parts. The first part focuses on high-dimensional classification problems in microarray experiments. The second part deals with forecasting problems with a large number of categories in predictors. Classification problems in microarray experiments refer to discriminating...

Full description

Bibliographic Details
Main Author: Lo, Shin-Lian
Published: Georgia Institute of Technology 2011
Subjects:
Classification
Microarray experiments
Tree-based methods
Variable selection
Penalized logistic regression
Forecasting
Computational biology
Bioinformatics
Pattern recognition systems
DNA microarrays
Logistic regression analysis
Online Access:http://hdl.handle.net/1853/37193

Internet

http://hdl.handle.net/1853/37193

Similar Items