INTERACTIVE LEARNING

摘要

A system and method are provided for shared machine learning. The method includes providing a model to a plurality of agents included in a machine learning system. The model specifies attributes and attribute value data types for an event in which the agents act. The method further includes receiving agent-provided inputs during an instance of the event. The agent-provided inputs include estimated attribute values that are consistent with the attribute value data types. The method also includes determining expertise weights for at least some agents in response to at least one ground-truth which is learned from the estimated attribute values. The method additionally includes determining an estimate value for one or more of the attributes using respective adaptive mixtures of the estimated attribute values.

主权项

1. A method for shared machine learning, comprising:
providing a model to a plurality of agents comprised in a machine learning system, the model specifying attributes and attribute value data types for an event in which the plurality of agents act; receiving agent-provided inputs from the plurality of agents during an instance of the event, the agent-provided inputs include estimated attribute values that are consistent with the attribute value data types; determining expertise weights for at least one of the plurality of agents in response to at least one ground-truth which is learned from the estimated attribute values; and determining an estimate value for one or more of the attributes using adaptive mixtures of the estimated attribute values.