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

Claim 7:
8. Machine readable and non-transitory medium having information recorded thereon for machine learning, wherein the information, once read by the machine, causes a machine to perform:
receiving, by an expert trainer, from a source, based on a level of available bidding currency, a training sample for learning;
generating, by the expert trainer, a prediction in accordance with the training sample and based on one or more parameters associated with a model;
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;
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;
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 the one or more parameters of the model based on the prediction and the ground truth label.