184 search results - page 13 / 37 » Efficiently handling feature redundancy in high-dimensional ... |
AAAI
2010
13 years 9 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
SIGMOD
2010
ACM
13 years 8 months ago
2010
ACM
Radio Frequency Identification (RFID) technologies are used in many applications for data collection. However, raw RFID readings are usually of low quality and may contain many an...
BIOINFORMATICS
2005
13 years 7 months ago
2005
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
BMCBI
2010
13 years 7 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...