PREDICTING EDGES IN TEMPORAL NETWORK GRAPHS DESCRIBED BY NEAR-BIPARTITE DATA SETS

Patent №

US 9,299,042

Granted

2016-03-29

Filed 2013

Owner

RAYTHEON COMPANY

Lab

AI components

4

ml · vision · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13963439

Embodiments of a system and method for predicting a future state of a set of data are generally described herein. In some embodiments, a set of data in a first domain is obtained. The set of data in the first domain may be represented as a network graph. The set of data in the first domain is mapped into a set of data in a second domain. A plurality of prediction models are applied to the set of data in the second domain to produce a plurality of predicted sets of data. The predicted sets of data are combined to generate a combined predicted set of data having a best match. The combined predicted sets of data having the best match are reverse mapped to the first domain.

AI classification

Machine learning1.00
Evolutionary computation0.97
AI hardware0.90
Vision0.67
Planning0.24
Natural language0.23
Knowledge representation0.12
Speech0.00

Ownership

RAYTHEON COMPANY

assignment · 309790658

Assignors

ECK, CHRISTOPHER R.

On an employer assignment, the assignors are typically the inventors.

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