Mark Thomas Messer

US Patent:

20210049481, Feb 18, 2021

Filed:

Aug 12, 2019

Appl. No.:

16/538129

Inventors:

- Minnetonka MN, US
Mariya Wahlstrom - Escondido CA, US
Ellyn Oliver - San Diego CA, US
Michael Pedersen - San Diego CA, US
Mark Messer - Escondido CA, US
Brian C. Potter - Carlsbad CA, US
Kelly Canter - Roscommon MI, US
Mark L. Morsch - San Diego CA, US

International Classification:

G06N 5/04
G06N 5/02

Abstract:

There is a need for solutions for more effective and efficient predictive data analysis systems in conceptually hierarchical domains. This need can be addressed, for example, by a system configured to obtain one or more initial raw inputs; determine a partial prediction for the one or more initial raw inputs, wherein the partial prediction is associated with an initial encoding hierarchy and the initial encoding hierarchy is associated with a plurality of prediction nodes; determine, based on the partial prediction and the initial encoding hierarchy, one or more partial prediction information deficiencies for partial prediction; obtain one or more supplemental raw inputs based on the one or more partial prediction information deficiencies; and generate a conceptually hierarchical prediction based on the one or more supplemental raw inputs and the partial prediction.