Invention Grant
- Patent Title: Addressing missing features in models
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Application No.: US14681652Application Date: 2015-04-08
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Publication No.: US09805713B2Publication Date: 2017-10-31
- Inventor: Fadi Biadsy , Diamantino Antonio Caseiro
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L15/02
- IPC: G10L15/02 ; G10L15/08 ; G10L15/26 ; G10L15/30 ; G10L15/183

Abstract:
Systems and methods for addressing missing features in models are provided. In some implementations, a model configured to indicate likelihoods of different outcomes is accessed. The model includes a respective score for each of a plurality of features, and each feature corresponds to an outcome in an associated context. It is determined that the model does not include a score for a feature corresponding to a potential outcome in a particular context. A score is determined for the potential outcome in the particular context based on the scores for one or more features in the model that correspond to different outcomes in the particular context. The model and the score are used to determine a likelihood of occurrence of the potential outcome.
Public/Granted literature
- US20160267904A1 Addressing Missing Features in Models Public/Granted day:2016-09-15
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