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Fundamental Limits of Learning (Fun LoL) Request for Information (RFI)

Solicitation Number: DARPA-SN-16-37
Agency: Other Defense Agencies
Office: Defense Advanced Research Projects Agency
Location: Contracts Management Office
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Opportunity History
:
DARPA-SN-16-37
:
Special Notice
:
Added: May 12, 2016 3:50 pm

The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is requesting information on research related to the investigation and characterization of fundamental limits of machine learning with supportive theoretical foundations.  Although the main focus is on machine learning, extensions and implications for human-machine systems are also of interest.  The notion of fundamental limits here means that the conclusion about achievable performance limits should hold independent of specific learning methods or algorithms.

See DARPA-SN-16-37.

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DARPA-SN-16-37

Type:
Other (Draft RFPs/RFIs, Responses to Questions, etc..)
Label:
DARPA-SN-16-37
Posted Date:
May 12, 2016
DARPA-SN-16-37.pdf (54.33 Kb)
Description: DARPA-SN-16-37 Fundamental Limits of Learning (Fun LoL) RFI
:
675 North Randolph Street
Arlington, Virginia 22203-2114
United States
:
Dr. Reza Ghanadan

All Files

DARPA-SN-16-37 Download compressed package in Zip format.
May 12, 2016
DARPA-SN-16-37.pdf

General Information

Notice Type:
Special Notice
Posted Date:
May 12, 2016
Response Date:
Jun 07, 2016 4:00 pm Eastern
Archiving Policy:
Automatic, on specified date
Archive Date:
June 8, 2016
Original Set Aside:
N/A
Set Aside:
N/A
Classification Code:
A -- Research & Development
NAICS Code:
541 -- Professional, Scientific, and Technical Services/541712 -- Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)