106 search results - page 5 / 22 » Performance evaluation of evolutionary algorithms in classif... |
SIGMOD
2010
ACM
13 years 7 months ago
2010
ACM
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
GECCO
2009
Springer
14 years 10 hour 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 classi...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
HIS
2008
13 years 8 months ago
2008
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...