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AssigneeHERE Global B.V.
InventorsNicholas DRONEN, Stephen O'HARA, Vladimir SHESTAK
Estimating the term…
An approach is provided for selecting training observations for machine learning models. The approach involves determining a first distribution of a plurality of features observed in the training data set, and a second distribution of the plurality of features observed in the candidate pool of observations. The approach further involves selecting one or more observations in the candidate pool of observations for annotation based on the first distribution and the second distribution. The approach further involves adding the one or more observations to the training data set after annotation. The training data set is used for training the machine learning model.
A computer-implemented method comprising:
An apparatus comprising:
A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to perform:
Dependencies are inferred from the claim text.