168 search results - page 24 / 34 » A Consistent Metric for Performance Evaluation of Multi-Obje... |
AI
2004
Springer
13 years 7 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
GECCO
2009
Springer
13 years 12 months ago
2009
Springer
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
SIGSOFT
2007
ACM
14 years 8 months ago
2007
ACM
The term scalability appears frequently in computing literature, but it is a term that is poorly defined and poorly understood. The lack of a clear, consistent and systematic trea...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...