899 search results - page 37 / 180 » Is an ordinal class structure useful in classifier learning |
AUSAI
2006
Springer
14 years 13 days ago
2006
Springer
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
AIR
2004
13 years 8 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
ISDA
2010
IEEE
13 years 6 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
SSPR
2004
Springer
14 years 2 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...