Method and system for query training

Abstract

The method for query training can include: determining a graphical representation, determining an inference network based on the graphical representation, determining a query distribution, sampling one or more train queries from the query distribution, and optionally determining a trained inference network by training the untrained inference network using the train query. The method can optionally include determining an inference query and determining an inference query result for the inference query using the trained inference network.

We claim: 
     
         1 . A method, comprising:
 determining a graphical representation comprising graphical parameters;   determining inference equations for the graphical representation, wherein the inference equations comprise the graphical parameters;   determining an untrained inference network, comprising the graphical parameters, by unrolling the inference equations;   determining a query distribution;   sampling a plurality of train queries from the query distribution;   determining a trained inference network by training the untrained inference network using the plurality of train queries; and   determining an inference query result for an inference query using the trained inference network, wherein the inference query is within the query distribution but different from the train queries.