US 11,755,953 B2
Augmented gamma belief network operation
Ayan Acharya, Austin, TX (US); and Matthew Sanchez, Austin, TX (US)
Assigned to Tecnotree Technologies, Inc., Lewes, DE (US)
Filed by Cognitive Scale, Inc., Austin, TX (US)
Filed on Dec. 31, 2020, as Appl. No. 17/139,601.
Application 17/139,601 is a continuation of application No. 15/432,536, filed on Feb. 14, 2017, granted, now 10,885,465, issued on Jan. 5, 2021.
Prior Publication US 2021/0406766 A1, Dec. 30, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 20/00 (2019.01); G06N 7/00 (2023.01); G06N 7/01 (2023.01)
CPC G06N 20/00 (2019.01) [G06N 7/01 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implementable method for generating a cognitive insight comprising:
receiving data, the data comprising a plurality of examples, each of the plurality of examples comprising an input object and a desired output value, at least some of the plurality of examples being based upon feedback from a user;
performing a machine learning operation on the data, the machine learning operation comprising performing an augmented gamma belief network operation, the augmented gamma belief network operation producing an inferred function based upon the data;
performing a cognitive learning operation via a cognitive inference and learning system using the plurality of examples, the cognitive learning operation implementing a plurality of cognitive learning techniques according to a cognitive learning framework, the cognitive learning operation applying the plurality of cognitive learning techniques via the machine learning operation to generate a cognitive learning result;
generating a cognitive insight based upon a cognitive profile generated using the inferred function generated by the augmented gamma belief network operation; and wherein
the plurality of cognitive learning techniques comprise a direct correlations cognitive learning technique, an explicit likes/dislikes cognitive learning technique, a patterns and concepts cognitive learning technique, a behavior cognitive learning technique, a concept entailment cognitive learning technique, and a contextual recommendation cognitive learning technique, the direct correlations cognitive learning technique being associated with a declared learning style and bounded by a data-based cognitive learning category, the explicit likes/dislikes cognitive learning technique being associated with the declared learning style and bounded by an interaction-based cognitive learning category, the patterns and concepts cognitive learning technique being associated with an observed learning style and bounded by the data-based cognitive learning category, the behavior cognitive learning technique being associated with the observed learning style and bounded by the interaction-based cognitive learning category, the concept entailment cognitive learning technique being associated with an inferred learning style and bounded by the data-based cognitive learning category, and a contextual recommendation cognitive learning technique being associated with the inferred learning style and bounded by the interaction-based cognitive learning category.