公开(公告)号：US20200257943A1

公开(公告)日：2020-08-13

申请号：US16708166

申请日：2019-12-09

Applicant: HRL LABORATORIES, LLC

Inventor： David J. Huber ,  Tsai-Ching Lu ,  Nigel D. Stepp ,  Aruna Jammalamadaka ,  Hyun J. Kim ,  Samuel D. Johnson

IPC: G06K9/62 ,  G06N3/08 ,  G06N20/00 ,  G06F40/205 ,  G06F40/284 ,  G06F16/907

Abstract: A method for generating human-machine hybrid predictions of answers to forecasting problems includes: parsing text of an individual forecasting problem to identify keywords; generating machine models based on the keywords; scraping data sources based on the keywords to collect scraped data relevant to the individual forecasting problem; providing the scraped data to the machine models; receiving machine predictions of answers to the individual forecasting problem from the machine models based on the scraped data; providing, by the computer system via a user interface, the scraped data to human participants; receiving, by the computer system via the user interface, human predictions of answers to the individual forecasting problem from the human participants; aggregating the machine predictions with the human predictions to generate aggregated predictions; and generating and outputting a hybrid prediction based on the aggregated predictions.

公开(公告)号：US11625562B2

公开(公告)日：2023-04-11

申请号：US16708166

申请日：2019-12-09

Applicant: HRL LABORATORIES, LLC

Inventor： David J. Huber ,  Tsai-Ching Lu ,  Nigel D. Stepp ,  Aruna Jammalamadaka ,  Hyun J. Kim ,  Samuel D. Johnson

IPC: G06F40/166 ,  G06K9/62 ,  G06F16/907 ,  G06N20/00 ,  G06F40/284 ,  G06F40/205 ,  G06N3/08 ,  G06F16/903 ,  G06F40/40 ,  G06Q30/0202 ,  G06Q30/0251 ,  G06Q50/00

Abstract: A method for generating human-machine hybrid predictions of answers to forecasting problems includes: parsing text of an individual forecasting problem to identify keywords; generating machine models based on the keywords; scraping data sources based on the keywords to collect scraped data relevant to the individual forecasting problem; providing the scraped data to the machine models; receiving machine predictions of answers to the individual forecasting problem from the machine models based on the scraped data; providing, by the computer system via a user interface, the scraped data to human participants; receiving, by the computer system via the user interface, human predictions of answers to the individual forecasting problem from the human participants; aggregating the machine predictions with the human predictions to generate aggregated predictions; and generating and outputting a hybrid prediction based on the aggregated predictions.