Abstract
Many online applications of machine learning require fast classification and hence utilize efficient classifiers such as naïve Bayes. However, outside periods of peak computational load, additional computational resources will often be available. Anytime classification can use whatever computational resources may be available at classification time to improve the accuracy of the classifications made.
| Original language | English |
|---|---|
| Title of host publication | Advances in Intelligent IT - Active Media Technology 2006 |
| Editors | Yuefeng Li, Mark Looi, Ning Zhong |
| Place of Publication | Amsterdam The Netherlands |
| Publisher | IOS Press |
| Pages | 7 - 12 |
| Number of pages | 6 |
| Edition | 1 |
| ISBN (Electronic) | 9781586036157 |
| ISBN (Print) | 1586036157 |
| Publication status | Published - 2006 |
| Event | International Conference on Active Media Technology 2006 - Brisbane, Australia Duration: 7 Jun 2006 → 9 Jun 2006 Conference number: 4th |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Publisher | 0922-6389 |
| Volume | 138 |
Conference
| Conference | International Conference on Active Media Technology 2006 |
|---|---|
| Abbreviated title | AMT 2006 |
| Country/Territory | Australia |
| City | Brisbane |
| Period | 7/06/06 → 9/06/06 |