|
BEACON eSpace at Jet Propulsion Laboratory >
JPL Technical Report Server >
JPL TRS 1992+ >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/42353
|
| Title: | Machine learning methods for real time and archival classification of astronomical transients and variables |
| Authors: | Rebbapragada, Umaa |
| Keywords: | astronomy machine learning transient detection |
| Issue Date: | 1-Mar-2012 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012. |
| Citation: | Center for Time-Domain Informatics Seminar Series, Berkeley, California, March 3, 2012 |
| URI: | http://hdl.handle.net/2014/42353 |
| Appears in Collections: | JPL TRS 1992+
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|