Invention Grant
- Patent Title: Ensembling of neural network models
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Application No.: US16811632Application Date: 2020-03-06
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Publication No.: US11610131B2Publication Date: 2023-03-21
- Inventor: Sari Andoni , Keith D. Moore , Elmira M. Bonab , Junhwan Choi , Tyler S. McDonnell
- Applicant: SparkCognition, Inc.
- Applicant Address: US TX Austin
- Assignee: SparkCognition, Inc.
- Current Assignee: SparkCognition, Inc.
- Current Assignee Address: US TX Austin
- Agency: Moore IP Law
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/086 ; G06N3/084

Abstract:
A method includes determining, by a processor of a computing device, a subset of models included in a plurality of models generated based on a genetic algorithm and corresponds to a first epoch of the genetic algorithm. Each of the plurality of models includes data representative of a neural network. The method includes aggregating the subset of models to generate an ensembler. The ensembler, when executed on an input, provides at least a portion of the input to each model of the subset of models to generate a plurality of intermediate outputs. An ensembler output of the ensembler is based on the plurality of intermediate outputs. The method further includes executing the ensembler on input data to determine the ensembler output.
Public/Granted literature
- US20200210847A1 ENSEMBLING OF NEURAL NETWORK MODELS Public/Granted day:2020-07-02
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