z-logo
open-access-imgOpen Access
Optimal experimental design for machine learning using the Fisher information
Author(s) -
Tracianne B. Neilsen,
David F. Van Komen,
Mark K. Transtrum,
Makenzie B. Allen,
David P. Knobles
Publication year - 2018
Publication title -
proceedings of meetings on acoustics
Language(s) - English
Resource type - Conference proceedings
ISSN - 1939-800X
DOI - 10.1121/2.0000953
Subject(s) - fisher information , computer science , machine learning , artificial intelligence , design of experiments , function (biology) , optimal design , curvature , algorithm , data mining , mathematics , statistics , geometry , evolutionary biology , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom