962 search results - page 29 / 193 » Redundancy based feature selection for microarray data |
CIBCB
2006
IEEE
15 years 1 months ago
2006
IEEE
Abstract-- The DNA microarray technology, originally developed to measure the level of gene expression, had become one of the most widely used tools in genomic study. Microarrays h...
CIKM
2009
Springer
15 years 1 months ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
ICONIP
2004
14 years 11 months ago
2004
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
ISLPED
1997
ACM
15 years 1 months ago
1997
ACM
We suggest a new technique to reduce energy consumption in the processor datapath without sacrificing performance by exploiting operand value locality at run time. Data locality is...