809 search results - page 29 / 162 » Experiments with Cost-Sensitive Feature Evaluation |
KDD
2002
ACM
14 years 11 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
METRICS
1999
IEEE
14 years 3 months ago
1999
IEEE
One of the most important steps towards effective software maintenance of a large complicated system is to understand how program features are spread over the entire system and th...
ALGORITHMICA
2006
13 years 11 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
ICMCS
2009
IEEE
13 years 8 months ago
2009
IEEE
We explore the problem of rapid automatic semantic tagging of video frames of unstructured (unedited) videos. We apply the Sort-Merge algorithm for feature selection on a large (&...
CIKM
2008
Springer
14 years 28 days ago
2008
Springer
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...