NASA Jet Propulsion Laboratory California Institute of Technology Follow this link to skip to the main content

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/2014/42372

Title: Machine learning for exploring data streams, with lessons from the very long baseline array
Authors: Thompson, David R.
Keywords: big data
machine learning
data streams
data triage
radio transients
Issue Date: 6-Jun-2012
Publisher: Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2012.
Citation: SETI Talk, Mountain View, California, June 6, 2012
URI: http://hdl.handle.net/2014/42372
Appears in Collections:JPL TRS 1992+

Files in This Item:

File Description SizeFormat
12-2188.pdf14.07 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, but are furnished with U.S. government purpose use rights.

 

Privacy/Copyright Image Policy Beacon Home Contact Us
NASA Home Page + Div 27
+ JPL Space
Site last updated on December 5, 2014.
If you have any comments or suggestions for this web site, please e-mail Robert Powers.