63 search results - page 5 / 13 » Using J-pruning to reduce overfitting in classification tree... |
KDD
1997
ACM
15 years 1 months ago
1997
ACM
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rat...
ICAPR
2009
Springer
15 years 4 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
GECCO
2010
Springer
15 years 22 days ago
2010
Springer
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
DASFAA
2004
IEEE
15 years 1 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
KDD
2002
ACM
15 years 9 months ago
2002
ACM
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...