Patent №
US 9,720,130
Granted
—
Owner
—
Lab
—
AI components
1
ml
Assignment
None on record
Dataset
AIPD
2023_r1 edition
Application
14083368
A Bayesian methodology is described for designing experiments or surveys that are improved by utilizing available prior information to guide the design toward maximally reducing posterior uncertainties in the interpretation of the future experiment. Synthetic geophysical tomography examples are used to illustrate benefits of this approach.
AI classification
Machine learning0.99
Planning0.04
Evolutionary computation0.02
Natural language0.01
AI hardware0.00
Vision0.00
Knowledge representation0.00
Speech0.00