Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/2444| Title: | Enhanced machine learning techniques for microarray cancer classification | Authors: | Shen, Li | Keywords: | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences | Issue Date: | 2006 | Source: | Shen, L. (2006). Enhanced machine learning techniques for microarray cancer classification. Doctoral thesis, Nanyang Technological University, Singapore. | Abstract: | This thesis deals with the problem of microarray cancer classification. Machine learning methods have been used and enhanced to tackle the task. Some novel use of the current methods has been presented. Evaluation based on classification accuracy and execution time has shown the advantages of the enhancements. | URI: | https://hdl.handle.net/10356/2444 | DOI: | 10.32657/10356/2444 | Schools: | School of Computer Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SCSE Theses |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ShenLi05.pdf | Main report | 974.72 kB | Adobe PDF |  View/Open |
Page view(s) 50
607
Updated on May 7, 2025
Download(s) 20
347
Updated on May 7, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.