Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/40532
Title: Mining minimal discriminatice features sets and its applications to gene expression data analysis
Authors: Feng, Chu
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2008
Source: Feng, C. (2008). Mining minimal discriminatice features sets and its applications to gene expression data analysis. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: Feature subset selection has been an important problem in machine learning research. Recently, new appeared data with high dimensionality, such as microarray gene expression data and text classification data, drive feature subset selection techniques advance speedily.
URI: http://hdl.handle.net/10356/40532
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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