Probabilistic modeling system and method
OwnerBenjamin W. Vigoda, Pawel Jerzy Zimoch +2inventors
InventorsBenjamin W. Vigoda, Pawel Jerzy Zimoch, Matthew C. Barr, Jeffrey Finkelstein
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Abstract
A computer-implemented method, computer program product and computing system for identifying a need for an ML object within a probabilistic model; accessing an ML object repository that defines a plurality of ML objects; obtaining a first ML object selected from the plurality of ML objects defined within the ML object repository; and adding the first ML object to the probabilistic model.
Claims24
A computer-implemented method, executed on a computing device, comprising:
- identifying a need for an ML object within a probabilistic model;
- accessing an ML object repository that defines a plurality of ML objects;
- obtaining a first ML object selected from the plurality of ML objects defined within the ML object repository;
- and
- adding the first ML object to the probabilistic model.
A computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:
- identifying a need for an ML object within a probabilistic model;
- accessing an ML object repository that defines a plurality of ML objects;
- obtaining a first ML object selected from the plurality of ML objects defined within the ML object repository;
- and
- adding the first ML object to the probabilistic model.
A computing system including a processor and memory configured to perform operations comprising:
- identifying a need for an ML object within a probabilistic model;
- accessing an ML object repository that defines a plurality of ML objects;
- obtaining a first ML object selected from the plurality of ML objects defined within the ML object repository;
- and
- adding the first ML object to the probabilistic model.
Dependencies are inferred from the claim text.