Systems and methods of determining sufficient causes from multiple outcomes
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United States of America Patent
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May 12, 2020
Grant Date -
Jan 25, 2018
app pub date -
Jul 20, 2016
filing date -
Jul 20, 2016
priority date (Note) -
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Abstract
Systems and methods are disclosed for question generation to infer the most probable cause from the observable outcome and known Noisy-OR causal relations. In embodiments, the outcomes are sorted by indices according to an order including but not limited to the outcomes' natural frequency order, expert-labeled order, machine-learning derived order, etc. According to their assigned indices, in embodiments, observed outcomes with lower indices are assigned for exact inference while observed outcomes with higher indices are assigned for variational inference. In embodiments, results of exact inference and variational inference are combined to predict the most probable cause. The unique combination of exact inference and variational inference according to outcome indices makes the probable cause inferring process faster.
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