124 search results - page 10 / 25 » Selective Pre-processing of Imbalanced Data for Improving Cl... |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
JCP
2008
13 years 7 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
BMCBI
2006
13 years 7 months ago
2006
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
BMCBI
2010
13 years 7 months ago
2010
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...