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OwnerJohn Docherty, David Kho +2inventors
InventorsJohn Docherty, David Kho, Adam Johnson, Ayan Chadhuri
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Methods, systems, and apparatus for generating a set of training data structures that are used to improve the performance of a machine learning model used to predict an entity risk. The method may include obtaining a attributes related to an entity and storing the attributes in a shared memory, segmenting the obtained attributes stored in the shared memory into distinct sets of risk-scoring components, wherein the distinct sets of risk-scoring components include a first set of risk-scoring components and a second set of risk-scoring components, mapping the risk-scoring components of the first set of risk-scoring components to one or more categories of a first plurality of categories, mapping the risk-scoring components of the second set of risk-scoring components to one or more categories of a second plurality of categories, and generating a training data structure based on the mapping of the first set and the mapping of the second set.
A data processing apparatus for accessing shared memory in processing data records for generating an item of structured training data, comprising:
A method performed by a data processing apparatus for generating a set of training data that is used to improve the performance of a machine learning model used to predict a risk-level associated with an entity, the method comprising:
A system comprising one or more computers and one or more storage devices storing instructions that are operable, when executed by one or more computers, to cause the one or more computers to perform one or more operations, the operations comprising:
A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform the one or more operations, the operations comprising:
Dependencies are inferred from the claim text.