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.
申请公布号
US2016117601(A1)
申请公布日期
2016.04.28
申请号
US201414523530
申请日期
2014.10.24
申请人
INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人
Gaucher Brian P.;Lenchner Jonathan;Melville David O.;Salapura Valentina