Patent ID: 11915114
Assignee: YAHOO ASSETS LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system for machine learning, comprising:
a training data processing unit of an expert trainer implemented with a processor and configured for receiving, from a source, a training sample for learning; and
a training unit of the expert trainer implemented with the processor and configured for generating a prediction in accordance with the training sample and based on one or more parameters associated with a model; and
a confidence assessment unit of the expert trainer implemented with the processor and configured for
determining a metric characterizing a level of confidence of the prediction, wherein the level of available bidding currency is dynamically allocated to the expert trainer by a controller based on the level of confidence of the prediction, and
transmitting the prediction and the metric to the source, wherein the metric is to be used by the source to reach a determination on whether a ground truth label for the training sample is to be provided, wherein the training unit is further configured for
receiving, if the source determined that the metric of the prediction satisfies a certain condition, the ground truth label from the source, and
enhancing the model by updating, upon receiving the ground truth label, the one or more parameters of the model based on the prediction and the ground truth label.